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.

Version: 1.2.5
Depends: glmnet, intervals, survival, adaptMCMC, MASS
Imports: Rcpp
LinkingTo: Rcpp
Suggests: Rmpfr
Published: 2019-09-07
DOI: 10.32614/CRAN.package.selectiveInference
Author: Ryan Tibshirani, Rob Tibshirani, Jonathan Taylor, Joshua Loftus, Stephen Reid, Jelena Markovic
Maintainer: Rob Tibshirani <tibs at>
License: GPL-2
NeedsCompilation: yes
CRAN checks: selectiveInference results


Reference manual: selectiveInference.pdf


Package source: selectiveInference_1.2.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): selectiveInference_1.2.5.tgz, r-oldrel (arm64): selectiveInference_1.2.5.tgz, r-release (x86_64): selectiveInference_1.2.5.tgz, r-oldrel (x86_64): selectiveInference_1.2.5.tgz
Old sources: selectiveInference archive

Reverse dependencies:

Reverse imports: AnchorRegression, AVGAS, hySAINT, SequenceSpikeSlab, sparsevb, xtune


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