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