Methodology for testing nonlinearity in the conditional mean function in low- or high-dimensional generalized linear models, and the significance of (potentially large) groups of predictors. Details on the algorithms can be found in the paper by Jankova, Shah, Buehlmann and Samworth (2019) <arXiv:1908.03606>.
| Version: | 0.1.0 |
| Imports: | glmnet, randomForest, MASS, stats, RPtests |
| Suggests: | xyz |
| Published: | 2019-10-11 |
| Author: | Jana Jankova [aut, cre], Rajen Shah [aut], Peter Buehlmann [aut], Richard Samworth [aut] |
| Maintainer: | Jana Jankova <jana.jankova at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | GRPtests results |
| Reference manual: | GRPtests.pdf |
| Package source: | GRPtests_0.1.0.tar.gz |
| Windows binaries: | r-devel: GRPtests_0.1.0.zip, r-release: GRPtests_0.1.0.zip, r-oldrel: GRPtests_0.1.0.zip |
| macOS binaries: | r-release: GRPtests_0.1.0.tgz, r-oldrel: GRPtests_0.1.0.tgz |
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