net.maizegenetics.analysis.modelfitter

Class ForwardStepAdditiveSpliterator

net.maizegenetics.analysis.modelfitter.ForwardStepAdditiveSpliterator

Direct Known Subclasses:

ForwardStepAddDomSpliterator, ForwardStepNestedAdditiveSpliterator, ForwardStepSubsettingAdditiveSpliterator, ForwardStepSubsettingNestedAdditiveSpliterator

public class ForwardStepAdditiveSpliterator

This Spliterator is used to fit a baseModel plus an additive effect covariate to a data set y. It takes an AdditiveSite as input, calculates the test statistic specified by selectionCriterion, and sets its value in the AdditiveSite.

Field Detail

plm

protected PartitionedLinearModel plm

mySites

protected java.util.List<net.maizegenetics.analysis.modelfitter.AdditiveSite> mySites

baseModel

protected java.util.List<net.maizegenetics.stats.linearmodels.ModelEffect> baseModel

y

protected kotlin.Array[] y

origin

protected int origin

end

protected int end

baseModeldf

protected double baseModeldf

nobs

protected int nobs

nsites

protected int nsites

Constructor Detail

ForwardStepAdditiveSpliterator

public ForwardStepAdditiveSpliterator(java.util.List<net.maizegenetics.analysis.modelfitter.AdditiveSite> siteList,
                                      java.util.List<net.maizegenetics.stats.linearmodels.ModelEffect> baseModel,
                                      kotlin.Array[] y)

ForwardStepAdditiveSpliterator

protected ForwardStepAdditiveSpliterator(java.util.List<net.maizegenetics.analysis.modelfitter.AdditiveSite> siteList,
                                         java.util.List<net.maizegenetics.stats.linearmodels.ModelEffect> baseModel,
                                         kotlin.Array[] y,
                                         int numberOfSites)

Method Detail

tryAdvance

public boolean tryAdvance(java.util.function.Consumer<? super net.maizegenetics.analysis.modelfitter.AdditiveSite> action)

trySplit

public java.util.Spliterator<net.maizegenetics.analysis.modelfitter.AdditiveSite> trySplit()

estimateSize

public long estimateSize()

characteristics

public int characteristics()