Index (timeseries 0.4 API)

A B C D E F G H I L M N O P R S T U V X

A

aggregate(TimeUnit) - Method in class com.github.signaflo.timeseries.TimeSeries: Aggregate the observations in this series to the given time unit.
aggregate(TimePeriod) - Method in class com.github.signaflo.timeseries.TimeSeries: Aggregate the time series up to the given time period.
aggregateToYears() - Method in class com.github.signaflo.timeseries.TimeSeries: Aggregate the observations in this series to the yearly level.
aic() - Method in interface com.github.signaflo.timeseries.model.arima.Arima: Get the Akaike Information Criterion (AIC) for this model.
apply(TimeSeries, int) - Static method in class com.github.signaflo.timeseries.operators.LagOperator: Apply the lag operator once at the given index.
apply(TimeSeries, OffsetDateTime) - Static method in class com.github.signaflo.timeseries.operators.LagOperator: Apply the lag operator once at the given date-time.
apply(TimeSeries, int, int) - Static method in class com.github.signaflo.timeseries.operators.LagOperator: Apply the lag operator the given number of times at the given index.
apply(TimeSeries, OffsetDateTime, int) - Static method in class com.github.signaflo.timeseries.operators.LagOperator: Apply the lag operator the given number of times at the given date-time.
apply(double[], int, int) - Static method in class com.github.signaflo.timeseries.operators.LagOperator: Apply the lag operator the given number of times at the given index.
apply(TimeSeries, int) - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Apply this lag polynomial to a time series at the given index.
apply(TimeSeries, OffsetDateTime) - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Apply this lag polynomial to a time series at the given date-time.
Arima - Interface in com.github.signaflo.timeseries.model.arima: A seasonal autoregressive integrated moving average (ARIMA) model.
Arima.Constant - Enum in com.github.signaflo.timeseries.model.arima: An indicator for whether an ARIMA model has a constant term.
Arima.Drift - Enum in com.github.signaflo.timeseries.model.arima: An indicator for whether an ARIMA model has a drift term.
Arima.FittingStrategy - Enum in com.github.signaflo.timeseries.model.arima: The strategy to be used for fitting an ARIMA model.
ArimaCoefficients - Class in com.github.signaflo.timeseries.model.arima: Consists of the autoregressive and moving-average coefficients for a seasonal ARIMA model, along with the degrees of differencing and the model mean and/or drift term.
ArimaCoefficients.Builder - Class in com.github.signaflo.timeseries.model.arima: A builder class for ARIMA model coefficients.
ArimaOrder - Class in com.github.signaflo.timeseries.model.arima: The order of an ARIMA model, consisting of the number of autoregressive and moving average parameters, along with the degree of differencing and flags indicating whether or not the model includes a constant and/or drift term.
ArimaProcess - Class in com.github.signaflo.timeseries.model.arima: Represents an indefinite, observation generating ARIMA process.
ArimaProcess.Builder - Class in com.github.signaflo.timeseries.model.arima: An ARIMA process builder.
asArray() - Method in interface com.github.signaflo.data.DataSet: The observations.
asArray() - Method in class com.github.signaflo.data.DoubleDataSet
asArray() - Method in class com.github.signaflo.data.Range: Get the range as an array of doubles.
asArray() - Method in class com.github.signaflo.timeseries.TimeSeries: Retrieve the time series of observations.
asInt() - Method in enum com.github.signaflo.timeseries.model.arima.Arima.Constant
asInt() - Method in enum com.github.signaflo.timeseries.model.arima.Arima.Drift
asList() - Method in class com.github.signaflo.data.Range
asList() - Method in class com.github.signaflo.timeseries.TimeSeries: retrieve the observations as a list.
at(int) - Method in class com.github.signaflo.data.Range: Return the ith element of this range, where indexing begins at 0.
at(int) - Method in class com.github.signaflo.timeseries.TimeSeries: Retrieve the value of the time series at the given index.
at(OffsetDateTime) - Method in class com.github.signaflo.timeseries.TimeSeries: Retrieve the value of the time series at the given date-time.
ausbeer - Static variable in class com.github.signaflo.timeseries.TestData
ausbeerArray - Static variable in class com.github.signaflo.timeseries.TestData
autoCorrelationAtLag(int) - Method in class com.github.signaflo.timeseries.TimeSeries: The correlation of this series with itself at lag k.
autoCorrelationUpToLag(int) - Method in class com.github.signaflo.timeseries.TimeSeries: Every correlation coefficient of this series with itself up to the given lag.
autoCovarianceAtLag(int) - Method in class com.github.signaflo.timeseries.TimeSeries: The covariance of this series with itself at lag k.
autoCovarianceUpToLag(int) - Method in class com.github.signaflo.timeseries.TimeSeries: Every covariance measure of this series with itself up to the given lag.
autoRegressive(double...) - Static method in class com.github.signaflo.timeseries.operators.LagPolynomial: Create and return a new autoregressive lag polynomial.

B

backTransform(double) - Method in class com.github.signaflo.timeseries.TimeSeries: Perform the inverse of the Box-Cox transformation on this series and return the result in a new time series.
beta() - Method in interface com.github.signaflo.data.regression.LinearRegression: Get the estimated coefficients.
build() - Method in interface com.github.signaflo.data.regression.MultipleRegressionBuilder
build() - Method in interface com.github.signaflo.data.regression.RegressionBuilder
build() - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
build() - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess.Builder: Construct and return a new ArimaProcess.
build() - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder
builder() - Static method in interface com.github.signaflo.data.regression.LinearRegression: Create and return a new builder for a linear regression model.
builder() - Static method in interface com.github.signaflo.data.regression.MultipleLinearRegression: Create and return a new builder for a multiple linear regression model.
builder() - Static method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients: Create a new builder for a ArimaCoefficients object.
builder() - Static method in class com.github.signaflo.timeseries.model.arima.ArimaProcess
Builder() - Constructor for class com.github.signaflo.timeseries.model.arima.ArimaProcess.Builder
builder() - Static method in interface com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression: Return a new builder for a time series linear regression model.

C

centeredMovingAverage(int) - Method in class com.github.signaflo.timeseries.TimeSeries: Return a moving average of order m if m is odd and of order 2 × m if m is even.
coefficients() - Method in interface com.github.signaflo.timeseries.model.arima.Arima: Get the coefficients of this ARIMA model.
com.github.signaflo.data - package com.github.signaflo.data: Types for creating and manipulating collections of data.
com.github.signaflo.data.regression - package com.github.signaflo.data.regression: Linear regression models and prediction.
com.github.signaflo.data.visualization - package com.github.signaflo.data.visualization: Classes and methods for visualizing data.
com.github.signaflo.timeseries - package com.github.signaflo.timeseries: Classes for creating and manipulating time series data.
com.github.signaflo.timeseries.forecast - package com.github.signaflo.timeseries.forecast: Provides the interface for time series forecasting.
com.github.signaflo.timeseries.model - package com.github.signaflo.timeseries.model: Statistical models for time series.
com.github.signaflo.timeseries.model.arima - package com.github.signaflo.timeseries.model.arima: Resources for building and forecasting autoregressive integrated moving-average (ARIMA) models.
com.github.signaflo.timeseries.model.regression - package com.github.signaflo.timeseries.model.regression: Linear regression models for time series.
com.github.signaflo.timeseries.operators - package com.github.signaflo.timeseries.operators: Operators designed specifically for time series data.
compareTo(DoublePair) - Method in class com.github.signaflo.data.DoublePair: Compare this pair to another pair for lexicographic ordering.
compareTo(Pair<T, S>) - Method in class com.github.signaflo.data.Pair: Compare this pair to another pair for lexicographic ordering.
computeLowerPredictionBounds(TimeSeries, int, double) - Method in interface com.github.signaflo.timeseries.forecast.Forecaster: Compute the lower end points of a prediction interval using the given forecast, forecast steps, and α significance level.
computeLowerPredictionBounds(int, double) - Method in interface com.github.signaflo.timeseries.forecast.Forecaster: Compute the lower end points of a prediction interval with the given number of forecast steps and α significance level.
computePointForecasts(int) - Method in interface com.github.signaflo.timeseries.forecast.Forecaster: Create a new point forecast for the given number of steps ahead.
computeUpperPredictionBounds(TimeSeries, int, double) - Method in interface com.github.signaflo.timeseries.forecast.Forecaster: Compute the upper end points of a prediction interval using the given forecast, forecast steps, and α significance level.
computeUpperPredictionBounds(int, double) - Method in interface com.github.signaflo.timeseries.forecast.Forecaster: Compute the upper end points of a prediction interval with the given number of forecast steps and α significance level.
confidenceInterval() - Method in interface com.github.signaflo.data.regression.LinearRegressionPrediction: The two-sided confidence interval for this prediction.
correlation(DataSet) - Method in interface com.github.signaflo.data.DataSet: The unbiased sample correlation of these observations with the observations contained in the given data set.
correlation(DataSet) - Method in class com.github.signaflo.data.DoubleDataSet
correlation(DataSet) - Method in class com.github.signaflo.timeseries.TimeSeries
covariance(DataSet) - Method in interface com.github.signaflo.data.DataSet: The unbiased sample covariance of these observations with the observations contained in the given data set.
covariance(DataSet) - Method in class com.github.signaflo.data.DoubleDataSet
covariance(DataSet) - Method in class com.github.signaflo.timeseries.TimeSeries

D

DataSet - Interface in com.github.signaflo.data: A collection of numerical observations.
dateTimeIndex() - Method in class com.github.signaflo.timeseries.TimeSeries: Retrieve the mapping of observation times to array indices for this series.
debitcards - Static variable in class com.github.signaflo.timeseries.TestData
demean() - Method in class com.github.signaflo.timeseries.TimeSeries: Remove the mean from this series and return the result as a new time series.
designMatrix() - Method in interface com.github.signaflo.data.regression.MultipleLinearRegression: Get the model design matrix.
difference(double[], int, int) - Static method in class com.github.signaflo.timeseries.TimeSeries: Difference the given series the given number of times at the given lag.
difference(double[], int) - Static method in class com.github.signaflo.timeseries.TimeSeries: Difference the given series the given number of times at lag 1.
difference(int, int) - Method in class com.github.signaflo.timeseries.TimeSeries: Difference this series the given number of times at the given lag.
difference(int) - Method in class com.github.signaflo.timeseries.TimeSeries: Difference this time series at the given lag and return the result as a new time series.
difference() - Method in class com.github.signaflo.timeseries.TimeSeries: Difference this time series once at lag 1 and return the result as a new time series.
differences(int) - Static method in class com.github.signaflo.timeseries.operators.LagPolynomial: Create and return a new lag polynomial representing an arbitrary number of differences.
DoubleDataSet - Class in com.github.signaflo.data: A collection of numerical observations represented as primitive doubles.
DoubleDataSet(double...) - Constructor for class com.github.signaflo.data.DoubleDataSet: Construct a new data set from the given data.
DoublePair - Class in com.github.signaflo.data: Represents a 2-tuple of primitive doubles.
DoublePair(double, double) - Constructor for class com.github.signaflo.data.DoublePair

E

elecSales - Static variable in class com.github.signaflo.timeseries.TestData
end() - Method in class com.github.signaflo.data.Range: Get the ending value of this range.
equals(Object) - Method in class com.github.signaflo.data.DoubleDataSet
equals(Object) - Method in class com.github.signaflo.data.DoublePair
equals(Object) - Method in class com.github.signaflo.data.Pair
equals(Object) - Method in class com.github.signaflo.data.regression.MultipleLinearRegressionPredictor
equals(Object) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients
equals(Object) - Method in class com.github.signaflo.timeseries.model.arima.ArimaOrder
equals(Object) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess
equals(Object) - Method in class com.github.signaflo.timeseries.model.MeanModel
equals(Object) - Method in class com.github.signaflo.timeseries.model.RandomWalk
equals(Object) - Method in class com.github.signaflo.timeseries.operators.LagPolynomial
equals(Object) - Method in class com.github.signaflo.timeseries.TimePeriod
equals(Object) - Method in class com.github.signaflo.timeseries.TimeSeries
estimate() - Method in interface com.github.signaflo.data.regression.Prediction: The point estimate for this prediction.
exclusiveRange(double, double, double) - Static method in class com.github.signaflo.data.Range: Create a new range of doubles excluding the given to value.
exclusiveRange(double, double) - Static method in class com.github.signaflo.data.Range: Create a new range of doubles excluding the given to value, with a default spacing between values of 1.0.
externalRegressors(double[]...) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Specify prediction variable data for the linear regression model.
externalRegressors(Matrix) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Specify prediction variable data for the linear regression model.

F

first() - Method in class com.github.signaflo.data.DoublePair
first() - Method in class com.github.signaflo.data.Pair
firstDifference() - Static method in class com.github.signaflo.timeseries.operators.LagPolynomial: Create and return a new lag polynomial representing the first difference operator.
fitStandardError() - Method in interface com.github.signaflo.data.regression.LinearRegressionPrediction: The standard error of fit for this prediction.
fitted() - Method in interface com.github.signaflo.data.regression.LinearRegression: Get the model fitted values.
fittedSeries() - Method in interface com.github.signaflo.timeseries.model.arima.Arima
fittedSeries() - Method in class com.github.signaflo.timeseries.model.MeanModel
fittedSeries() - Method in interface com.github.signaflo.timeseries.model.Model: Get the model fitted values, which are in-sample one-step ahead forecasts.
fittedSeries() - Method in class com.github.signaflo.timeseries.model.RandomWalk
Forecast - Interface in com.github.signaflo.timeseries.forecast: A time series forecast.
forecast(int, double) - Method in interface com.github.signaflo.timeseries.forecast.Forecaster: Create a new forecast for the given number of steps ahead with the given α significance level.
forecast(int) - Method in interface com.github.signaflo.timeseries.forecast.Forecaster: Create a new forecast for the given number of steps ahead with a default α significance level of 0.05.
forecast(int, double) - Method in interface com.github.signaflo.timeseries.model.arima.Arima
forecast(int, double) - Method in class com.github.signaflo.timeseries.model.MeanModel
forecast(int, double) - Method in interface com.github.signaflo.timeseries.model.Model: Produce a forecast from this model up to the given number of steps ahead.
forecast(int) - Method in interface com.github.signaflo.timeseries.model.Model: Create a new forecast for the given number of steps ahead with a default α significance level of 0.05.
forecast(int, double) - Method in class com.github.signaflo.timeseries.model.RandomWalk
Forecaster - Interface in com.github.signaflo.timeseries.forecast: A time series forecaster.
frequencyPer(TimePeriod) - Method in class com.github.signaflo.timeseries.TimePeriod: Compute and return the number of times this time period occurs in the given time period.
frequencyPer(TimeUnit) - Method in enum com.github.signaflo.timeseries.TimeUnit: Compute and return the number of times this time unit occurs in another time unit.
frequencyPer(TimePeriod) - Method in enum com.github.signaflo.timeseries.TimeUnit: Compute and return the number of times this time unit occurs in the given time period.
from(MultipleLinearRegression) - Static method in class com.github.signaflo.data.regression.MultipleLinearRegressionPredictor: Create a new predictor from the given multiple linear regression model.
from(MultipleLinearRegression) - Method in interface com.github.signaflo.data.regression.MultipleRegressionBuilder: Copy the attributes of the given regression object to this builder and return this builder.
from(TimeSeriesLinearRegression) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Copy the attributes of the given regression object to this builder and return this builder.
from(double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series from the given data without regard to when the observations were made.
from(OffsetDateTime, double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series from the given data with the supplied start time.
from(TimePeriod, double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series using the given time period and observation data.
from(TimePeriod, CharSequence, double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series using the given time period, the time of first observation, and observation data.
from(TimePeriod, List<OffsetDateTime>, double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series with the given time period, observation times, and observation data.
from(TimeUnit, CharSequence, double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series using the given unit of time, the time of first observation, and the observation data.
from(TimePeriod, OffsetDateTime, double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series with the given time period, the time of first observation, and the observation data.
from(TimeUnit, OffsetDateTime, double...) - Static method in class com.github.signaflo.timeseries.TimeSeries: Create a new time series using the given unit of time, the time of first observation, and the observation data.

G

getAsDouble() - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess: Generate the next observation from this ARIMA process.
getNext(int) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess: Generate and return the next n values of this process.

H

halfCentury() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one half of a century
halfDay() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one half of a day.
halfDecade() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one half of a decade.
halfHour() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one half of an hour.
halfMonth() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one half of a month.
halfSecond() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one half of a second.
halfYear() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one half of a year.
hardProblem - Static variable in class com.github.signaflo.timeseries.TestData
hashCode() - Method in class com.github.signaflo.data.DoubleDataSet
hashCode() - Method in class com.github.signaflo.data.DoublePair
hashCode() - Method in class com.github.signaflo.data.Pair
hashCode() - Method in class com.github.signaflo.data.regression.MultipleLinearRegressionPredictor
hashCode() - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients
hashCode() - Method in class com.github.signaflo.timeseries.model.arima.ArimaOrder
hashCode() - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess
hashCode() - Method in class com.github.signaflo.timeseries.model.MeanModel
hashCode() - Method in class com.github.signaflo.timeseries.model.RandomWalk
hashCode() - Method in class com.github.signaflo.timeseries.operators.LagPolynomial
hashCode() - Method in class com.github.signaflo.timeseries.TimePeriod
hashCode() - Method in class com.github.signaflo.timeseries.TimeSeries
hasIntercept() - Method in interface com.github.signaflo.data.regression.LinearRegression: Get whether or not the model includes an intercept.
hasIntercept(boolean) - Method in interface com.github.signaflo.data.regression.MultipleRegressionBuilder
hasIntercept(boolean) - Method in interface com.github.signaflo.data.regression.RegressionBuilder
hasIntercept(TimeSeriesLinearRegression.Intercept) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Specify whether to include an intercept in the regression model.
hasNext() - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess: This method always returns true.

I

include() - Method in enum com.github.signaflo.timeseries.model.arima.Arima.Constant
include() - Method in enum com.github.signaflo.timeseries.model.arima.Arima.Drift
inclusiveRange(double, double, double) - Static method in class com.github.signaflo.data.Range: Create a new range of doubles including the given to value if possible.
inclusiveRange(double, double) - Static method in class com.github.signaflo.data.Range: Create a new range of doubles including the given to value if possible, with a default spacing between values of 1.0.
intercept() - Method in interface com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression
internetTraffic - Static variable in class com.github.signaflo.timeseries.TestData
inverseParams() - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Return the additive inverse of the parameters of this lag polynomial.

L

LagOperator - Class in com.github.signaflo.timeseries.operators: Static methods for working with the lag operator.
LagPolynomial - Class in com.github.signaflo.timeseries.operators: Represents a polynomial in the lag operator.
LinearRegression - Interface in com.github.signaflo.data.regression: A linear regression model.
LinearRegressionPrediction - Interface in com.github.signaflo.data.regression: Prediction from a linear regression model.
LinearRegressionPredictor - Interface in com.github.signaflo.data.regression: A predictor that makes predictions using a linear regression model.
livestock - Static variable in class com.github.signaflo.timeseries.TestData
logLikelihood() - Method in interface com.github.signaflo.timeseries.model.arima.Arima: Get the natural logarithm of the likelihood of the model given the data.
lowerPredictionInterval() - Method in interface com.github.signaflo.timeseries.forecast.Forecast: Get the lower end points of the prediction interval.

M

mean() - Method in interface com.github.signaflo.data.DataSet: The mean of the observations.
mean() - Method in class com.github.signaflo.data.DoubleDataSet
mean() - Method in class com.github.signaflo.timeseries.TimeSeries
MeanModel - Class in com.github.signaflo.timeseries.model: A time series model that assumes no trend or seasonal factors are present, and that puts as much weight on early values of the series as it does on recent values.
MeanModel(TimeSeries) - Constructor for class com.github.signaflo.timeseries.model.MeanModel
median() - Method in interface com.github.signaflo.data.DataSet: The median value of the observations.
median() - Method in class com.github.signaflo.data.DoubleDataSet
median() - Method in class com.github.signaflo.timeseries.TimeSeries
minus(TimeSeries) - Method in class com.github.signaflo.timeseries.TimeSeries: Subtract the given series from this time series and return the result as a new time series.
minus(double[]) - Method in class com.github.signaflo.timeseries.TimeSeries: Subtract the given series from this series and return the result as a new time series.
model(TimeSeries, ArimaOrder) - Static method in interface com.github.signaflo.timeseries.model.arima.Arima: Create a new ARIMA model from the given observations and model order.
model(TimeSeries, ArimaOrder, TimePeriod) - Static method in interface com.github.signaflo.timeseries.model.arima.Arima: Create a new ARIMA model from the given observations, model order, and seasonal cycle.
model(TimeSeries, ArimaOrder, Arima.FittingStrategy) - Static method in interface com.github.signaflo.timeseries.model.arima.Arima: Create a new ARIMA model from the given observations, model order, and fitting strategy.
model(TimeSeries, ArimaOrder, TimePeriod, Arima.FittingStrategy) - Static method in interface com.github.signaflo.timeseries.model.arima.Arima: Create a new ARIMA model from the given observations, model order, seasonal cycle, and fitting strategy.
model(TimeSeries, ArimaCoefficients, Arima.FittingStrategy) - Static method in interface com.github.signaflo.timeseries.model.arima.Arima: Create a new ARIMA model from the given observations, model coefficients, and fitting strategy.
model(TimeSeries, ArimaCoefficients, TimePeriod) - Static method in interface com.github.signaflo.timeseries.model.arima.Arima: Create a new ARIMA model from the given observations, model coefficients, and seasonal cycle.
model(TimeSeries, ArimaCoefficients, TimePeriod, Arima.FittingStrategy) - Static method in interface com.github.signaflo.timeseries.model.arima.Arima: Create a new ARIMA model from the given observations, model coefficients, seasonal cycle, and fitting strategy.
Model - Interface in com.github.signaflo.timeseries.model: A representation of a time series model.
movingAverage(double...) - Static method in class com.github.signaflo.timeseries.operators.LagPolynomial: Create and return a new moving average lag polynomial.
movingAverage(int) - Method in class com.github.signaflo.timeseries.TimeSeries: Compute a moving average of order m.
mtcars_hp - Static variable in class com.github.signaflo.timeseries.TestData
mtcars_mpg - Static variable in class com.github.signaflo.timeseries.TestData
mtcars_subset - Static variable in class com.github.signaflo.timeseries.TestData
mtcars_wt - Static variable in class com.github.signaflo.timeseries.TestData
MultipleLinearRegression - Interface in com.github.signaflo.data.regression: A multiple linear regression model.
MultipleLinearRegressionPredictor - Class in com.github.signaflo.data.regression: A predictor that makes predictions using a multiple linear regression model.
MultipleRegressionBuilder - Interface in com.github.signaflo.data.regression: A builder for a multiple linear regression model.

N

newAnnualSeries(int, double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series with observations made annually starting at the given year.
newAnnualSeries(double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series with observations made annually, without regard to the observation dates.
newMonthlySeries(double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series of monthly observations without regard to the observation dates.
newMonthlySeries(int, int, double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series with monthly observations starting at the given year and month.
newMonthlySeries(int, int, int, double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series with monthly observations starting at the given year, month, and day.
newPair(T, S) - Static method in class com.github.signaflo.data.Pair
newQuarterlySeries(double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series with quarterly observations without regard to the observation dates.
newQuarterlySeries(int, int, double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series with quarterly observations starting at the given year and quarter.
newWeeklySeries(double...) - Static method in class com.github.signaflo.timeseries.Ts
newWeeklySeries(int, int, int, double...) - Static method in class com.github.signaflo.timeseries.Ts: Construct a new time series with weekly observations starting at the given year, month, and day.
nextDouble() - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess: Generate the next observation from this ARIMA process.

O

observations() - Method in interface com.github.signaflo.timeseries.model.arima.Arima
observations() - Method in class com.github.signaflo.timeseries.model.MeanModel
observations() - Method in interface com.github.signaflo.timeseries.model.Model: Get the series of observations.
observations() - Method in class com.github.signaflo.timeseries.model.RandomWalk
observationTimes() - Method in class com.github.signaflo.timeseries.TimeSeries: Retrieve the list of observation times for this series.
oneCentury() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing exactly one century.
oneDay() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one day.
oneDecade() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing exactly one decade.
oneHour() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing exactly one hour.
oneMonth() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing exactly one month.
oneQuarter() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one quarter of a year.
oneSecond() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one second.
oneTenthSecond() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one tenth of a second.
oneWeek() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one week.
oneYear() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing exactly one year.
order() - Method in interface com.github.signaflo.timeseries.model.arima.Arima: Get the order of this ARIMA model.
order(int, int, int) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create and return a new non-seasonal model order with the given number of coefficients.
order(int, int, int, Arima.Constant) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create and return a new non-seasonal model order with the given number of coefficients and indication of whether or not to fit a constant.
order(int, int, int, Arima.Drift) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create and return a new non-seasonal model order with the given number of coefficients and indication of whether or not to fit a drift.
order(int, int, int, Arima.Constant, Arima.Drift) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create and return a new non-seasonal model order with the given number of coefficients and indication of whether or not to fit a constant and/or drift term.
order(int, int, int, int, int, int) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create a new ArimaOrder using the provided number of autoregressive and moving-average parameters, as well as the degrees of differencing.
order(int, int, int, int, int, int, Arima.Constant) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create a new ArimaOrder using the provided number of autoregressive and moving-average parameters, as well as the degrees of differencing and indication of whether or not to fit a constant.
order(int, int, int, int, int, int, Arima.Drift) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create a new ArimaOrder using the provided number of autoregressive and moving-average parameters, as well as the degrees of differencing and indication of whether or not to fit a drift term.
order(int, int, int, int, int, int, Arima.Constant, Arima.Drift) - Static method in class com.github.signaflo.timeseries.model.arima.ArimaOrder: Create a new ArimaOrder using the provided number of autoregressive and moving-average parameters, as well as the degrees of differencing and indication of whether or not to fit a constant and/or a drift term.

P

Pair<T extends Comparable<T>,S extends Comparable<S>> - Class in com.github.signaflo.data: Represents a 2-tuple.
parameters() - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Return the parameters of this lag polynomial.
periodLength() - Method in class com.github.signaflo.timeseries.TimePeriod: The length of this time period relative to the underlying time unit.
plot(TimeSeries) - Static method in class com.github.signaflo.data.visualization.Plots: Plot a time series, connecting the observation times to the measurements.
plot(TimeSeries, String) - Static method in class com.github.signaflo.data.visualization.Plots: Plot a time series, connecting the observation times to the measurements.
plot(TimeSeries, String, String) - Static method in class com.github.signaflo.data.visualization.Plots: Plot a time series, connecting the observation times to the measurements.
plot(DataSet) - Static method in class com.github.signaflo.data.visualization.Plots: Plot a data set.
plot(DataSet, DataSet) - Static method in class com.github.signaflo.data.visualization.Plots: Plot the first data set against the second data set.
plotAcf(TimeSeries, int) - Static method in class com.github.signaflo.data.visualization.Plots: Plot the sample autocorrelations of the given time series up to the given lag.
Plots - Class in com.github.signaflo.data.visualization: Static methods for producing plots.
plus(DataSet) - Method in interface com.github.signaflo.data.DataSet: Add every element of this data set to the corresponding element of the given data set.
plus(DataSet) - Method in class com.github.signaflo.data.DoubleDataSet
plus(DataSet) - Method in class com.github.signaflo.timeseries.TimeSeries
pointEstimates() - Method in interface com.github.signaflo.timeseries.forecast.Forecast: Get the point forecasts.
predict(Vector, double) - Method in interface com.github.signaflo.data.regression.LinearRegressionPredictor: Predict a response using the given observation and significance level.
predict(Vector) - Method in interface com.github.signaflo.data.regression.LinearRegressionPredictor: Predict a response using the given observation, with a default significance level of 0.05.
predict(Matrix, double) - Method in interface com.github.signaflo.data.regression.LinearRegressionPredictor: Predict a series of responses, one for each row in the observation matrix.
predict(Matrix) - Method in interface com.github.signaflo.data.regression.LinearRegressionPredictor: Predict a series of responses, one for each row in the observation matrix.
predict(Vector, double) - Method in class com.github.signaflo.data.regression.MultipleLinearRegressionPredictor
predict(Matrix, double) - Method in class com.github.signaflo.data.regression.MultipleLinearRegressionPredictor
predictDesignMatrix(Matrix, double) - Method in class com.github.signaflo.data.regression.MultipleLinearRegressionPredictor: Predict a series of responses, one for each row in the design matrix.
Prediction - Interface in com.github.signaflo.data.regression: A prediction of an unobserved response.
predictionErrors() - Method in interface com.github.signaflo.timeseries.model.arima.Arima
predictionErrors() - Method in class com.github.signaflo.timeseries.model.MeanModel
predictionErrors() - Method in interface com.github.signaflo.timeseries.model.Model: Get the model prediction errors, the difference between the observed values and the model fitted values.
predictionErrors() - Method in class com.github.signaflo.timeseries.model.RandomWalk
predictionInterval() - Method in interface com.github.signaflo.data.regression.LinearRegressionPrediction: The two-sided prediction interval for this prediction.
predictors() - Method in interface com.github.signaflo.data.regression.MultipleLinearRegression: Get the prediction variables.
predictors(double[]...) - Method in interface com.github.signaflo.data.regression.MultipleRegressionBuilder
print() - Method in class com.github.signaflo.timeseries.TimeSeries: Print a descriptive summary of this time series.

R

RandomWalk - Class in com.github.signaflo.timeseries.model: A model for a random walk process.
RandomWalk(TimeSeries) - Constructor for class com.github.signaflo.timeseries.model.RandomWalk: Create a new random walk model from the given time series of observations.
Range - Class in com.github.signaflo.data: A range of doubles.
RegressionBuilder - Interface in com.github.signaflo.data.regression: A builder for a linear regression model.
residuals() - Method in interface com.github.signaflo.data.regression.LinearRegression: Get the model residuals.
response() - Method in interface com.github.signaflo.data.regression.LinearRegression: Get the response variable.
response(double...) - Method in interface com.github.signaflo.data.regression.MultipleRegressionBuilder
response(double...) - Method in interface com.github.signaflo.data.regression.RegressionBuilder
response(TimeSeries) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Specify the response, or dependent variable, in the form of a time series.

S

seasonal() - Method in interface com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression
seasonal(TimeSeriesLinearRegression.Seasonal) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Specify whether to include a seasonal component in the regression model.
seasonalCycle() - Method in interface com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression
seasonalCycle(TimePeriod) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Specify the length of time it takes for the seasonal pattern to complete one cycle.
seasonalDifferences(int, int) - Static method in class com.github.signaflo.timeseries.operators.LagPolynomial: Create and return a new lag polynomial representing an arbitrary number of seasonal differences.
seasonalFrequency() - Method in interface com.github.signaflo.timeseries.model.arima.Arima: Get the frequency of observations per seasonal cycle.
seasonalFrequency() - Method in interface com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression
second() - Method in class com.github.signaflo.data.DoublePair
second() - Method in class com.github.signaflo.data.Pair
setARCoeffs(double...) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setCoefficients(ArimaCoefficients) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess.Builder: Set the process model coefficients.
setDifferences(int) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setDistribution(Distribution) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess.Builder: Set the probability distribution to draw the ARIMA process random errors from.
setDrift(double) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setMACoeffs(double...) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setMean(double) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setPeriod(TimePeriod) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess.Builder: Set the time period between process observations.
setSeasonalARCoeffs(double...) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setSeasonalCycle(TimePeriod) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess.Builder: Set the time cycle at which the seasonal pattern of the process repeats.
setSeasonalDifferences(int) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setSeasonalFrequency(int) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setSeasonalMACoeffs(double...) - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients.Builder
setStartTime(OffsetDateTime) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess.Builder: Set the start time of the process.
sigma2() - Method in interface com.github.signaflo.data.regression.LinearRegression: Get the model error variance estimate.
sigma2() - Method in interface com.github.signaflo.timeseries.model.arima.Arima: Get the estimate of the process variance.
simulate(int) - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess: Transform a snapshot of the process into a time series of the given size.
simulate(Distribution, int) - Static method in class com.github.signaflo.timeseries.model.RandomWalk: Simulate a random walk assuming that the errors, or random shocks, follow the given Distribution.
simulate(double, double, int) - Static method in class com.github.signaflo.timeseries.model.RandomWalk: Simulate a random walk assuming errors follow a Normal (Gaussian) Distribution with the given mean and standard deviation.
simulate(double, int) - Static method in class com.github.signaflo.timeseries.model.RandomWalk: Simulate a random walk assuming errors follow a Normal (Gaussian) Distribution with zero mean and with the provided standard deviation.
simulate(int) - Static method in class com.github.signaflo.timeseries.model.RandomWalk: Simulate a random walk assuming errors follow a standard Normal (Gaussian) Distribution.
size() - Method in interface com.github.signaflo.data.DataSet: The size of the data set.
size() - Method in class com.github.signaflo.data.DoubleDataSet
size() - Method in class com.github.signaflo.data.Range: Get the size, or number of elements, of this range.
size() - Method in class com.github.signaflo.timeseries.TimeSeries
slice(int, int) - Method in class com.github.signaflo.timeseries.TimeSeries: Return a slice of this time series from start (inclusive) to end (inclusive).
slice(OffsetDateTime, OffsetDateTime) - Method in class com.github.signaflo.timeseries.TimeSeries: Return a slice of this time series from start (inclusive) to end (inclusive).
sodaSalesArray - Static variable in class com.github.signaflo.timeseries.TestData: monthly sales of tasty cola (Bowerman and O'Connell (1993)), made available by Rob J Hyndman at DataMarket.
solve(TimeSeries, int) - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Apply this lag polynomial to the series at the given index, then solve for the value of the series at that index.
solve(TimeSeries, OffsetDateTime) - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Apply this lag polynomial to the series at the given date-time, then solve for the value of the series at that date-time.
solve(double[], int) - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Apply this lag polynomial to the series at the given index, then solve for the value of the series at that index.
standardErrors() - Method in interface com.github.signaflo.data.regression.LinearRegression: Get the standard errors of the estimated coefficients.
start() - Method in class com.github.signaflo.data.Range: Get the starting value of this range.
startOver() - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess: Start this process from the beginning.
startTime() - Method in class com.github.signaflo.timeseries.TimeSeries: The time at which the first observation was made.
stdDeviation() - Method in interface com.github.signaflo.data.DataSet: The unbiased sample standard deviation of the observations.
stdDeviation() - Method in class com.github.signaflo.data.DoubleDataSet
stdDeviation() - Method in class com.github.signaflo.timeseries.TimeSeries
stdErrors() - Method in interface com.github.signaflo.timeseries.model.arima.Arima: Get the standard errors of the model coefficients.
sum() - Method in interface com.github.signaflo.data.DataSet: The sum of the observations.
sum() - Method in class com.github.signaflo.data.DoubleDataSet
sum() - Method in class com.github.signaflo.data.Range: Get the sum of the data in this range.
sum() - Method in class com.github.signaflo.timeseries.TimeSeries
sumOfSquares() - Method in interface com.github.signaflo.data.DataSet: The sum of the squared observations.
sumOfSquares() - Method in class com.github.signaflo.data.DoubleDataSet
sumOfSquares() - Method in class com.github.signaflo.timeseries.TimeSeries
sydneyAir - Static variable in class com.github.signaflo.timeseries.TestData

T

temporalUnit() - Method in enum com.github.signaflo.timeseries.TimeUnit: The temporal unit used as the basis for this time unit.
TestData - Class in com.github.signaflo.timeseries: Static fields containing test data.
TimePeriod - Class in com.github.signaflo.timeseries: An amount of time expressed in a particular time unit.
TimePeriod(TimeUnit, long) - Constructor for class com.github.signaflo.timeseries.TimePeriod: Create a new time period with the given unit of time and period length.
timePeriod() - Method in class com.github.signaflo.timeseries.TimeSeries: Retrieve the time period at which observations are made for this series.
times(DataSet) - Method in interface com.github.signaflo.data.DataSet: Multiply every element of this data set with the corresponding element of the given data set.
times(DataSet) - Method in class com.github.signaflo.data.DoubleDataSet
times(LagPolynomial) - Method in class com.github.signaflo.timeseries.operators.LagPolynomial: Multiply this polynomial by another lag polynomial and return the result in a new lag polynomial.
times(DataSet) - Method in class com.github.signaflo.timeseries.TimeSeries
TimeSeries - Class in com.github.signaflo.timeseries: An immutable sequence of observations taken at regular time intervals.
TimeSeriesLinearRegression - Interface in com.github.signaflo.timeseries.model.regression: A linear regression model for time series data.
TimeSeriesLinearRegression.Intercept - Enum in com.github.signaflo.timeseries.model.regression: Specifies whether a time series regression model has an intercept.
TimeSeriesLinearRegression.Seasonal - Enum in com.github.signaflo.timeseries.model.regression: Specifies whether a time series regression model has a seasonal component.
TimeSeriesLinearRegression.TimeTrend - Enum in com.github.signaflo.timeseries.model.regression: Specifies whether a time series regression model has a time trend.
TimeSeriesLinearRegressionBuilder - Class in com.github.signaflo.timeseries.model.regression: A builder for a time series linear regression model.
TimeSeriesLinearRegressionBuilder() - Constructor for class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder
timeSeriesResponse() - Method in interface com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression
timeSlice(int, int) - Method in class com.github.signaflo.timeseries.TimeSeries: Return a slice of this time series using R/Julia style indexing.
timeTrend() - Method in interface com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression
timeTrend(TimeSeriesLinearRegression.TimeTrend) - Method in class com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegressionBuilder: Specify whether to include a time trend in the regression model.
timeUnit() - Method in class com.github.signaflo.timeseries.TimePeriod: The unit of time underlying this time period.
TimeUnit - Enum in com.github.signaflo.timeseries: A set of constants representing standard time units, ranging from nanoseconds to centuries.
toString() - Method in class com.github.signaflo.data.DoubleDataSet
toString() - Method in class com.github.signaflo.data.DoublePair
toString() - Method in class com.github.signaflo.data.Pair
toString() - Method in class com.github.signaflo.data.Range
toString() - Method in enum com.github.signaflo.timeseries.model.arima.Arima.FittingStrategy
toString() - Method in class com.github.signaflo.timeseries.model.arima.ArimaCoefficients
toString() - Method in class com.github.signaflo.timeseries.model.arima.ArimaOrder
toString() - Method in class com.github.signaflo.timeseries.model.arima.ArimaProcess
toString() - Method in class com.github.signaflo.timeseries.model.MeanModel
toString() - Method in class com.github.signaflo.timeseries.model.RandomWalk
toString() - Method in class com.github.signaflo.timeseries.operators.LagPolynomial
toString() - Method in class com.github.signaflo.timeseries.TimePeriod
toString() - Method in class com.github.signaflo.timeseries.TimeSeries
toString() - Method in enum com.github.signaflo.timeseries.TimeUnit
totalSeconds() - Method in class com.github.signaflo.timeseries.TimePeriod: The total amount of time in this time period measured in seconds, the base SI unit of time.
transform(double) - Method in class com.github.signaflo.timeseries.TimeSeries: Transform the series using a Box-Cox transformation with the given parameter value.
triAnnual() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing one third of a year.
Ts - Class in com.github.signaflo.timeseries: Static factory constructors for TimeSeries objects.
twoYears() - Static method in class com.github.signaflo.timeseries.TimePeriod: Create and return a new TimePeriod representing exactly two years.

U

ukcars - Static variable in class com.github.signaflo.timeseries.TestData
unitLength() - Method in class com.github.signaflo.timeseries.TimePeriod: The length of this time period expressed in terms of its underlying time unit.
unitLength() - Method in enum com.github.signaflo.timeseries.TimeUnit: The length of this time unit relative to the underlying temporal unit.
upperPredictionInterval() - Method in interface com.github.signaflo.timeseries.forecast.Forecast: Get the upper end points of the prediction interval.

V

valueOf(String) - Static method in enum com.github.signaflo.timeseries.model.arima.Arima.Constant: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.github.signaflo.timeseries.model.arima.Arima.Drift: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.github.signaflo.timeseries.model.arima.Arima.FittingStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression.Intercept: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression.Seasonal: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression.TimeTrend: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.github.signaflo.timeseries.TimeUnit: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.github.signaflo.timeseries.model.arima.Arima.Constant: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.github.signaflo.timeseries.model.arima.Arima.Drift: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.github.signaflo.timeseries.model.arima.Arima.FittingStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression.Intercept: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression.Seasonal: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.github.signaflo.timeseries.model.regression.TimeSeriesLinearRegression.TimeTrend: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum com.github.signaflo.timeseries.TimeUnit: Returns an array containing the constants of this enum type, in the order they are declared.
variance() - Method in interface com.github.signaflo.data.DataSet: The unbiased sample variance of the observations.
variance() - Method in class com.github.signaflo.data.DoubleDataSet
variance() - Method in class com.github.signaflo.timeseries.TimeSeries

X

XtXInverse() - Method in interface com.github.signaflo.data.regression.MultipleLinearRegression: Get (X^TX)^-1, where X is the model design matrix.

A B C D E F G H I L M N O P R S T U V X