Package: StabilizedRegression
Title: Stabilizing Regression and Variable Selection
Version: 1.1
Authors@R: c(
  person("Niklas", "Pfister", email="np@math.ku.dk", role=c("aut", "cre")),
  person("Evan", "Williams", email="williams@imsb.biol.ethz.ch", role="ctb"))
Description: Contains an implementation of 'StabilizedRegression', a
        regression framework for heterogeneous data introduced in
        Pfister et al. (2021) <arXiv:1911.01850>. The procedure uses
        averaging to estimate a regression of a set of predictors X on
        a response variable Y by enforcing stability with respect to a
        given environment variable. The resulting regression leads to a
        variable selection procedure which allows to distinguish
        between stable and unstable predictors. The package further
        implements a visualization technique which illustrates the
        trade-off between stability and predictiveness of individual
        predictors.
BugReports: https://github.com/NiklasPfister/StabilizedRegression-R/issues
Depends: R (>= 3.5)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.0
Imports: MASS, R6, glmnet, corpcor, ggplot2, ggrepel
Repository: https://niklaspfister.r-universe.dev
Date/Publication: 2022-06-30 07:54:24 UTC
RemoteUrl: https://github.com/niklaspfister/stabilizedregression-r
RemoteRef: HEAD
RemoteSha: e3c5807cce8afc0ff07903654994328dcc8c3d7a
RemoteSubdir: StabilizedRegression
NeedsCompilation: no
Packaged: 2026-10-08 09:59:25 UTC; root
Author: Niklas Pfister [aut, cre],
  Evan Williams [ctb]
Maintainer: Niklas Pfister <np@math.ku.dk>