Package: lassopv
Type: Package
Title: Nonparametric P-Value Estimation for Predictors in Lasso
Version: 0.2.1
Date: 2019-12-03
Author: Lingfei Wang <Lingfei.Wang.github@outlook.com>
Maintainer: Lingfei Wang <Lingfei.Wang.github@outlook.com>
Description: Estimate the p-values for predictors x against target
        variable y in lasso regression, using the regularization
        strength when each predictor enters the active set of
        regularization path for the first time as the statistic. This
        is based on the assumption that predictors (of the same
        variance) that (first) become active earlier tend to be more
        significant. Three null distributions are supported: normal and
        spherical, which are computed separately for each predictor and
        analytically under approximation, which aims at efficiency and
        accuracy for small p-values.
URL: https://github.com/lingfeiwang/lassopv
License: GPL-3
Copyright: Copyright 2016-2019 Lingfei Wang
Depends: R (>= 2.10)
Imports: lars, stats
NeedsCompilation: no
Repository: https://lingfeiwang.r-universe.dev
Date/Publication: 2022-10-04 17:39:24 UTC
RemoteUrl: https://github.com/lingfeiwang/lassopv
RemoteRef: HEAD
RemoteSha: 0d828c0715e1379d60e536b4fd0c868beccf02c0
RemoteSubdir: lassopv
Packaged: 2026-10-19 08:03:18 UTC; root