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
NeedsCompilation: no
Packaged: 2022-06-30 07:52:05 UTC; pfisteni
Author: Niklas Pfister [aut, cre],
  Evan Williams [ctb]
Maintainer: Niklas Pfister <np@math.ku.dk>
Repository: CRAN
Date/Publication: 2022-06-30 08:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 15:20:20 UTC; unix
