# selectiveInference v1.2.5

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## 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.

## Functions in selectiveInference

 Name Description debiasingMatrix Find an approximate inverse of a non-negative definite matrix. estimateSigma Estimate the noise standard deviation in regression forwardStop ForwardStop rule for sequential p-values 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. selectiveInference Tools for selective inference selectiveInference-internal Internal PMA functions scaleGroups Center and scale design matrix by groups fsInf Selective inference for forward stepwise regression randomizedLassoInf Inference for the randomized lasso, with a fixed lambda groupfs Select a model with forward stepwise. fs Forward stepwise regression larInf Selective inference for least angle regression lar Least angle regression groupfsInf Compute selective p-values for a model fitted by groupfs. manyMeans Selective inference for many normal means predict.lar Prediction and coefficient functions for least angle regression randomizedLasso Inference for the randomized lasso, with a fixed lambda ROSI Relevant One-step Selective Inference for the LASSO factorDesign Expand a data frame with factors to form a design matrix with the full binary encoding of each factor. TG.interval Truncated Gaussian confidence interval. TG.limits Truncation limits and standard deviation. fixedLassoInf Inference for the lasso, with a fixed lambda TG.pvalue Truncated Gaussian p-value. No Results!