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'))

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

On CRAN:

4.60 score 8 scripts 363 downloads 2 mentions 7 exports 38 dependencies

Last updated 3 months agofrom:a85000aad6. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win	OK	Oct 31 2024
R-4.5-linux	OK	Oct 31 2024
R-4.4-win	OK	Oct 31 2024
R-4.4-mac	OK	Oct 31 2024
R-4.3-win	OK	Oct 31 2024
R-4.3-mac	OK	Oct 31 2024

Exports:binomial boxcoxpower boxcoxtype Kfind.boxcox np.boxcoxmix optim.boxcox tolfind.boxcox

Dependencies:cli colorspace deldir fansi farver ggplot2 glue gtable interp isoband jpeg labeling lattice latticeExtra lifecycle magrittr MASS Matrix mgcv munsell nlme npmlreg pillar pkgconfig png qicharts R6 RColorBrewer Rcpp RcppEigen rlang scales statmod tibble utf8 vctrs viridisLite withr

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

Rendered fromboxcoxmix.Rnwusingutils::Sweaveon Oct 31 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects	boxcoxmix-package boxcoxmix
Box-Cox-type link function for logistic mixed-effects Models	binomial boxcoxpower boxcoxtype
Grid search over K for NPML estimation of random effect and variance component models	Kfind.boxcox
Response Transformations for Random Effect and Variance Component Models	np.boxcoxmix
Response Transformations for Random Effect and Variance Component Models	optim.boxcox
Plot diagnostics for boxcoxmix functions	plot.boxcoxmix
Summary of boxcoxmix functions	print.boxcoxmix print.boxcoxmixpure summary.boxcoxmix summary.boxcoxmixpure
Grid search over tol for NPPML estimation of random effect and variance component models	tolfind.boxcox