Package | Description |
---|---|
net.maizegenetics.analysis.modelfitter |
The modelfitter package contains classes that use various methods to fit multiple variant
sites to a GWAS model.
|
net.maizegenetics.stats.linearmodels |
Range of statistical and higher level linear algebra functions
|
Constructor and Description |
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ForwardStepNestedAdditiveSpliterator(List<AdditiveSite> siteList,
List<ModelEffect> baseModel,
double[] y,
FactorModelEffect nestingFactor) |
ForwardStepNestedAdditiveSpliterator(List<AdditiveSite> siteList,
List<ModelEffect> baseModel,
double[] y,
int numberOfSites,
FactorModelEffect nestingFactor) |
ForwardStepSubsettingNestedAdditiveSpliterator(List<AdditiveSite> siteList,
List<ModelEffect> baseModel,
double[] y,
int[] subset,
FactorModelEffect nestingFactor) |
ForwardStepSubsettingNestedAdditiveSpliterator(List<AdditiveSite> siteList,
List<ModelEffect> baseModel,
double[] y,
int[] subset,
int numberOfSites,
FactorModelEffect nestingFactor) |
Modifier and Type | Method and Description |
---|---|
FactorModelEffect |
NestedCovariateModelEffect.getFactorModelEffect() |
Modifier and Type | Method and Description |
---|---|
DoubleMatrix |
FactorModelEffect.getXtX2(FactorModelEffect fme) |
Constructor and Description |
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NestedCovariateModelEffect(CovariateModelEffect cme,
FactorModelEffect fme) |
NestedCovariateModelEffect(double[] covariate,
FactorModelEffect fme) |
NestedCovariateModelEffect(float[] covariate,
FactorModelEffect fme) |
WithinPopulationPermuter(double[] originalData,
FactorModelEffect popEffect) |
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