Calculates Monte Carlo approximations to conduct selective inference for mixed and additive regression models after model selection as proposed by Ruegamer, Baumann and Greven (2020) <arXiv:2007.07930>.
| Version: | 0.1 |
| Depends: | R (≥ 3.5) |
| Imports: | Matrix, lme4, mgcv |
| Suggests: | knitr, rmarkdown, gamm4, lmerTest |
| Published: | 2021-04-15 |
| Author: | David Ruegamer [aut, cre] |
| Maintainer: | David Ruegamer <david.ruegamer at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | selfmade results |
| Reference manual: | selfmade.pdf |
| Vignettes: |
Selective Inference for Linear Mixed and Additive Models |
| Package source: | selfmade_0.1.tar.gz |
| Windows binaries: | r-devel: selfmade_0.1.zip, r-release: selfmade_0.1.zip, r-oldrel: selfmade_0.1.zip |
| macOS binaries: | r-release (arm64): selfmade_0.1.tgz, r-release (x86_64): selfmade_0.1.tgz, r-oldrel: selfmade_0.1.tgz |
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