The R Journal: accepted article

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bcmixed: A Package for Median Inference on Longitudinal Data with the Box–Cox Transformation PDF download
Kazushi Maruo, Ryota Ishii, Yusuke Yamaguchi and Masahiko Gosho

Abstract This article illustrates the use of the bcmixed package and focuses on the two main functions: bcmarg and bcmmrm. The bcmarg function provides inference results for a marginal model of a mixed ef fect model using the Box–Cox transformation. The bcmmrm function provides model median inferences based on the mixed effect models for repeated measures analysis using the Box–Cox transformation for longitudinal randomized clinical trials. Using the bcmmrm function, analysis results with high power and high interpretability for treatment effects can be obtained for longitudinal randomized clinical trials with skewed outcomes. Further, the bcmixed package provides summarizing and visualization tools, which would be helpful to write clinical trial reports.

Received: ; online 2021-09-20
CRAN packages: nlme, glme, lme4, CLME, PLmixed, MCMCglmm, bcmixed, MissMech
CRAN Task Views implied by cited CRAN packages: Psychometrics, SocialSciences, Econometrics, Environmetrics, OfficialStatistics, SpatioTemporal, Bayesian, ChemPhys, Finance, Phylogenetics, Spatial, Survival


CC BY 4.0
This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-083,
  author = {Kazushi Maruo and Ryota Ishii and Yusuke Yamaguchi and
          Masahiko Gosho},
  title = {{bcmixed: A Package for Median Inference on Longitudinal Data
          with the Box–Cox Transformation}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-083},
  url = {https://journal.r-project.org/archive/2021/RJ-2021-083/index.html}
}