Package: StabilizedRegression
Title: Stabilizing Regression and Variable Selection
Version: 1.0
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. (2019) <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
LazyData: true
RoxygenNote: 7.0.2
Imports: MASS, R6, glmnet, corpcor, ggplot2, ggrepel
NeedsCompilation: no
Packaged: 2020-03-05 07:30:32 UTC; pfisteni
Author: Niklas Pfister [aut, cre],
  Evan Williams [ctb]
Maintainer: Niklas Pfister <np@math.ku.dk>
Repository: CRAN
Date/Publication: 2020-03-13 10:20:09 UTC
Built: R 4.0.2; ; 2020-07-17 11:06:19 UTC; unix
