selfmade: Selective Inference for Mixed and Additive Model Estimators

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>
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:, r-release:, r-oldrel:
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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