Package: RPtests
Type: Package
Title: Goodness of Fit Tests for High-Dimensional Linear Regression
        Models
Version: 0.1.5
Authors@R: c(
  person("Rajen", "Shah", email = "r.shah@statslab.cam.ac.uk", role = c("aut", "cre")),
  person("Peter", "Buhlmann", email="peter.buehlmann@stat.math.ethz.ch ", role="aut"))
Description: Performs goodness of fits tests for both high and low-dimensional linear models.
    It can test for a variety of model misspecifications including nonlinearity and heteroscedasticity.
    In addition one can test the significance of potentially large groups of variables, and also
    produce p-values for the significance of individual variables in high-dimensional linear
    regression.
License: GPL (>= 2)
Imports: glmnet, parallel, randomForest, Rcpp, stats
LinkingTo: Rcpp
URL: https://rss.onlinelibrary.wiley.com/doi/10.1111/rssb.12234
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-07-10 19:48:13 UTC; thera
Author: Rajen Shah [aut, cre],
  Peter Buhlmann [aut]
Maintainer: Rajen Shah <r.shah@statslab.cam.ac.uk>
Encoding: UTF-8
Repository: CRAN
Date/Publication: 2021-07-10 20:10:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 06:38:56 UTC; unix
Archs: RPtests.so.dSYM
