Crandore Hub

boxcoxmix

Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects

Box-Cox-type transformations for linear and logistic models with random effects using non-parametric profile maximum likelihood estimation, as introduced in Almohaimeed (2018) <http://etheses.dur.ac.uk/12831/> and Almohaimeed and Einbeck (2022) <doi:10.1177/1471082X20966919>. The main functions are 'optim.boxcox()' for linear models with random effects and 'boxcoxtype()' for logistic models with random effects.

Versions across snapshots

VersionRepositoryFileSize
0.46 rolling linux/jammy R-4.5 boxcoxmix_0.46.tar.gz 371.2 KiB
0.46 rolling linux/noble R-4.5 boxcoxmix_0.46.tar.gz 371.1 KiB
0.46 rolling source/ R- boxcoxmix_0.46.tar.gz 369.8 KiB
0.46 latest linux/jammy R-4.5 boxcoxmix_0.46.tar.gz 371.2 KiB
0.46 latest linux/noble R-4.5 boxcoxmix_0.46.tar.gz 371.1 KiB
0.46 latest source/ R- boxcoxmix_0.46.tar.gz 369.8 KiB
0.46 2026-04-26 source/ R- boxcoxmix_0.46.tar.gz 369.8 KiB
0.46 2026-04-23 source/ R- boxcoxmix_0.46.tar.gz 369.8 KiB
0.46 2026-04-09 windows/windows R-4.5 boxcoxmix_0.46.zip 372.9 KiB
0.46 2025-04-20 source/ R- boxcoxmix_0.46.tar.gz 369.8 KiB

Dependencies (latest)

Imports

Suggests