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selfmade (version 0.1)

Selective Inference for Mixed and Additive Model Estimators

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) .

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Install

install.packages('selfmade')

Monthly Downloads

4

Version

0.1

License

GPL (>= 2)

Maintainer

David Ruegamer

Last Published

April 15th, 2021

Functions in selfmade (0.1)

mocasin

Function which computes selective p-values and intervals for gamm4 and merMod objects
print.selfmade

Generic methods for selfmade objects