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 gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: selfmade results

Downloads:

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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