Package: lassoinf
Title: Selective Inference for the Randomized Lasso
Version: 0.2.0
Authors@R: c(
    person("Jonathan", "Taylor", email = "jtaylo@stanford.edu",
           role = c("aut", "cre", "cph")),
    person("Kevin", "Fry", role = "aut"),
    person("Snigdha", "Panigrahi", role = "aut"),
    person("Alden", "Green", role = "aut"),
    person("Sifan", "Liu", role = c("aut", "cph"),
           comment = "truncated bivariate normal computations, see inst/COPYRIGHTS"))
Description: Confidence intervals and p-values for parameters chosen by the
    (randomized) lasso, valid after selection. Implements the polyhedral
    approach of Lee, Sun, Sun and Taylor (2016) <doi:10.1214/15-AOS1371>,
    the randomized response of Tian and Taylor (2018) <doi:10.1214/17-AOS1564>
    and the exact randomized inference of Panigrahi, Fry and Taylor (2024)
    <doi:10.1093/biomet/asae019>, with the truncated bivariate normal
    computations of Liu (2023) <doi:10.48550/arXiv.2308.10346>. Includes
    inference for user-specified estimands, screening of inactive variables
    and problems fitted by 'glmnet'. Computations use a 'C++' backend with
    matrix-free linear operators for wide designs.
License: BSD_3_clause + file LICENSE
Copyright: See inst/COPYRIGHTS for the code adapted from Sifan Liu (MIT).
URL: https://github.com/jonathan-taylor/lassoinf
BugReports: https://github.com/jonathan-taylor/lassoinf/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppEigen
Imports: methods, mvtnorm, R6, Rcpp, stats
Suggests: glmnet (>= 5.1), knitr, rmarkdown, testthat, uniLasso
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
