# selectiveInference: Tools for Post-Selection Inference

New tools for post-selection inference, for use with forward stepwise regression, least angle regression, the lasso, and the many means problem. The lasso function implements Gaussian, logistic and Cox survival models.

- Author
- Ryan Tibshirani, Rob Tibshirani, Jonathan Taylor, Joshua Loftus, Stephen Reid
- Date of publication
- 2016-06-09 19:59:13
- Maintainer
- Rob Tibshirani <tibs@stanford.edu>
- License
- GPL-2
- Version
- 1.2.0

## Man pages

- 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'. Make...
- predict.lar
- Prediction and coefficient functions for least angle...
- scaleGroups
- Center and scale design matrix by groups
- selectiveInference
- Tools for selective inference
- selectiveInference-internal
- Internal PMA functions