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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
Author: Ryan Tibshirani, Rob Tibshirani, Jonathan Taylor, Joshua Loftus, Stephen Reid, Jelena Markovic
Maintainer: Rob Tibshirani <tibs at stanford.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: selectiveInference results

Documentation:

Reference manual: selectiveInference.pdf

Downloads:

Package source: selectiveInference_1.2.5.tar.gz
Windows binaries: r-devel: selectiveInference_1.2.5.zip, r-release: selectiveInference_1.2.5.zip, r-oldrel: selectiveInference_1.2.5.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=selectiveInference to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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