scglr-package | Supervised Component Generalized Linear Regression |
barplot.SCGLR | Barplot of percent of overall X variance captured by component |
critConvergence | Auxiliary function for controlling SCGLR fitting |
customize | Plot customization |
genus | Sample dataset of abundance of genera in tropical moist forest |
infoCriterion | Function that calculates cross-validation selection criteria |
methodLPLS | Regularization criterion types |
Methods | Regularization criterion types |
methodSR | Regularization criterion types |
multivariateFormula | Formula construction |
multivariateGlm | Multivariate generalized linear regression |
multivariateGlm.fit | Multivariate generalized linear regression |
multivariatePredictGlm | Function that predicts the responses from the covariates for a new sample |
pairs.SCGLR | Pairwise scglr plot on components |
plot.SCGLR | SCGLR generic plot |
print.SCGLR | Print SCGLR object |
print.summary.SCGLR | Summarizing SCGLR fits |
scglr | Function that fits the scglr model |
scglrCrossVal | Function that fits and selects the number of component by cross-validation. |
summary.SCGLR | Summarizing SCGLR fits |