Package: bcmixed 0.1.5

bcmixed: Mixed Effect Model with the Box-Cox Transformation

Inference on the marginal model of the mixed effect model with the Box-Cox transformation and on the model median differences between treatment groups for longitudinal randomized clinical trials. These statistical methods are proposed by Maruo et al. (2017) <doi:10.1002/sim.7279>.

Authors:Kazushi Maruo [aut, cre], Ryota Ishii [aut], Yusuke Yamaguchi [ctb], Masahiko Gosho [ctb]

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bcmixed.pdf |bcmixed.html
bcmixed/json (API)
NEWS

# Install 'bcmixed' in R:
install.packages('bcmixed', repos = c('https://kzkzmr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kzkzmr/bcmixed/issues

Datasets:
  • aidscd4 - CD4 Cells Count Data in Aids Randomized Controlled Clinical Trial.

On CRAN:

Conda:

2.70 score 5 scripts 238 downloads 5 exports 3 dependencies

Last updated 1 years agofrom:cc4d0d3f7b. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-winNOTEMar 27 2025
R-4.5-macNOTEMar 27 2025
R-4.5-linuxNOTEMar 27 2025
R-4.4-winOKMar 27 2025
R-4.4-macOKMar 27 2025
R-4.4-linuxOKMar 27 2025
R-4.3-winOKMar 27 2025
R-4.3-macOKMar 27 2025

Exports:bcmargbcmmrmbcregbctbct.v

Dependencies:latticeMASSnlme