Package: boxcoxmix 0.46

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.

Authors:Iago Giné-Vázquez [cre], Amani Almohaimeed [aut], Jochen Einbeck [aut]

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

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

Peer review:

Bug tracker:https://gitlab.com/iagogv/boxcoxmix

On CRAN:

7 exports 1.41 score 38 dependencies 2 mentions 8 scripts 370 downloads

Last updated 29 days agofrom:a85000aad6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:binomialboxcoxpowerboxcoxtypeKfind.boxcoxnp.boxcoxmixoptim.boxcoxtolfind.boxcox

Dependencies:clicolorspacedeldirfansifarverggplot2gluegtableinterpisobandjpeglabelinglatticelatticeExtralifecyclemagrittrMASSMatrixmgcvmunsellnlmenpmlregpillarpkgconfigpngqichartsR6RColorBrewerRcppRcppEigenrlangscalesstatmodtibbleutf8vctrsviridisLitewithr

boxcoxmix: An R Package for Response Transformations for Random Effect and Variance Component Models

Rendered fromboxcoxmix.Rnwusingutils::Sweaveon Aug 20 2024.

Last update: 2024-08-02
Started: 2017-10-09