Package: selfmade
Title: Selective Inference for Mixed and Additive Model Estimators
Version: 0.1
Authors@R: person("David", "Ruegamer", email = "david.ruegamer@gmail.com", role = c("aut", "cre"))
Description: 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>.
Depends: R (>= 3.5)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.1
Imports: Matrix, lme4, mgcv
Suggests: knitr, rmarkdown, gamm4, lmerTest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-13 21:45:55 UTC; david
Author: David Ruegamer [aut, cre]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-15 08:30:02 UTC
Built: R 4.0.2; ; 2021-04-16 10:31:00 UTC; unix
