# 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. | |

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## Last month downloads

## Details

Type | Package |

Date | 2019-09-04 |

License | GPL-2 |

RoxygenNote | 5.0.1 |

LinkingTo | Rcpp |

NeedsCompilation | yes |

Packaged | 2019-09-05 23:44:03 UTC; jonathantaylor |

Repository | CRAN |

Date/Publication | 2019-09-07 07:00:02 UTC |

depends | adaptMCMC , glmnet , intervals , MASS , survival |

imports | Rcpp |

suggests | Rmpfr |

Contributors | Ryan Tibshirani, Rob Tibshirani, Stephen Reid, Jonathan Taylor, Joshua Loftus, Jelena Markovic |

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