debiasingMatrix | Find an approximate inverse of a non-negative definite... |
estimateSigma | Estimate the noise standard deviation in regression |
factorDesign | Expand a data frame with factors to form a design matrix with... |
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... |
predict.groupfs | Prediction and coefficient functions for 'groupfs'. |
predict.lar | Prediction and coefficient functions for least angle... |
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 |
selectiveInference-internal | Internal PMA functions |
TG.interval | Truncated Gaussian confidence interval. |
TG.limits | Truncation limits and standard deviation. |
TG.pvalue | Truncated Gaussian p-value. |
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