Package: lassoinf Title: Selective Inference for the Randomized Lasso Version: 0.1.0 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("Sifan", "Liu", role = c("ctb", "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) , the randomized response of Tian and Taylor (2018) and the exact randomized inference of Panigrahi, Fry and Taylor (2024) , with the truncated bivariate normal computations of Liu (2023) . 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 VignetteBuilder: knitr Config/roxygen2/version: 8.1.0 NeedsCompilation: yes Packaged: 2026-10-20 22:35:52 UTC; root Author: Jonathan Taylor [aut, cre, cph], Kevin Fry [aut], Snigdha Panigrahi [aut], Sifan Liu [ctb, cph] (truncated bivariate normal computations, see inst/COPYRIGHTS) Maintainer: Jonathan Taylor Repository: https://cran.r-universe.dev Date/Publication: 2026-10-20 18:00:02 UTC RemoteUrl: https://github.com/cran/lassoinf RemoteRef: HEAD RemoteSha: 34ba9fb465c44a098cd64e12cd9bd0a0f8f9393e