R: Tools for Post-Selection Inference

# Tools for Post-Selection Inference

## Documentation for package ‘selectiveInference’ version 1.2.5

- DESCRIPTION file

## Help Pages

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.