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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 stanford.edu> |
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: 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 imports: | AnchorRegression, AVGAS, hySAINT, SequenceSpikeSlab, sparsevb, xtune |
Reverse suggests: | RegrCoeffsExplorer |
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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.