Building formula

multivariateFormula()

Formula construction

Computing model

scglr()

Function that fits the scglr model

scglrTheme()

Function that fits the theme model

kCompRand()

Function that fits the mixed-SCGLR model

Cross validation

scglrCrossVal()

Function that fits and selects the number of component by cross-validation.

scglrThemeBackward()

Theme Backward selection

Displaying results

Various S3 methods for displaying information and results from scglr and scglrTheme objects.

pairs(<SCGLR>)

Pairwise scglr plot on components

plot(<SCGLR>)

SCGLR generic plot

print(<SCGLR>)

Print SCGLR object

screeplot(<SCGLR>)

Screeplot of percent of overall X variance captured by component

summary(<SCGLR>) print(<summary.SCGLR>)

Summarizing SCGLR fits

plot(<SCGLRTHM>)

SCGLRTHM generic plot

screeplot(<SCGLRTHM>)

Screeplot of percent of overall X variance captured by component

Miscellaneous

customize

Plot customization

critConvergence()

Auxiliary function for controlling SCGLR fitting

infoCriterion()

Function that calculates cross-validation selection criteria

methodSR()

Regularization criterion types

Sample dataset

genus

Sample dataset of abundance of genera in tropical moist forest

genus2

Sample dataset of abundance of genera in tropical moist forest

dataGen

Sample dataset of abundance of genera in tropical moist forest