Package: RPtests
Type: Package
Title: Goodness of Fit Tests for High-Dimensional Linear Regression
        Models
Version: 0.1.3
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: http://arxiv.org/abs/1511.03334
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-01-27 07:36:04 UTC; rds37
Author: Rajen Shah [aut, cre],
  Peter Buhlmann [aut]
Maintainer: Rajen Shah <r.shah@statslab.cam.ac.uk>
Repository: CRAN
Date/Publication: 2017-01-27 10:17:51
