| 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. |