coef.fs |
Prediction and coefficient functions for forward stepwise regression |
coef.lar |
Prediction and coefficient functions for least angle regression |
debiasingMatrix |
Find an approximate inverse of a non-negative definite matrix. |
estimateSigma |
Estimate the noise standard deviation in regression |
factorDesign |
Expand a data frame with factors to form a design matrix with the full binary encoding of each factor. |
fixedLassoInf |
Inference for the lasso, with a fixed lambda |
forwardStop |
ForwardStop rule for sequential p-values |
fs |
Forward stepwise regression |
fsInf |
Selective inference for forward stepwise regression |
groupfs |
Select a model with forward stepwise. |
groupfsInf |
Compute selective p-values for a model fitted by 'groupfs'. |
lar |
Least angle regression |
larInf |
Selective inference for least angle regression |
manyMeans |
Selective inference for many normal means |
plot.fs |
Plot function for forward stepwise regression |
plot.lar |
Plot function for least angle regression |
predict.fs |
Prediction and coefficient functions for forward stepwise regression |
predict.groupfs |
Prediction and coefficient functions for 'groupfs'. |
predict.lar |
Prediction and coefficient functions for least angle regression |
randomizedLasso |
Inference for the randomized lasso, with a fixed lambda |
randomizedLassoInf |
Inference for the randomized lasso, with a fixed lambda |
ROSI |
Relevant One-step Selective Inference for the LASSO |
scaleGroups |
Center and scale design matrix by groups |
selectiveInference |
Tools for selective inference |
TG.interval |
Truncated Gaussian confidence interval. |
TG.limits |
Truncation limits and standard deviation. |
TG.pvalue |
Truncated Gaussian p-value. |