Package: boxcoxmix 0.46

Iago Giné-Vázquez
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:
boxcoxmix_0.46.tar.gz
boxcoxmix_0.46.zip(r-4.7-any)boxcoxmix_0.46.zip(r-4.6-any)boxcoxmix_0.46.zip(r-4.5-any)
boxcoxmix_0.46.tgz(r-4.6-any)boxcoxmix_0.46.tgz(r-4.5-any)
boxcoxmix_0.46.tar.gz(r-4.7-any)boxcoxmix_0.46.tar.gz(r-4.6-any)
boxcoxmix_0.46.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
boxcoxmix/json (API)
| # Install 'boxcoxmix' in R: |
| install.packages('boxcoxmix', repos = c('https://iagogv3.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/iagogv/boxcoxmix
Last updated from:a85000aad6. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 121 | ||
| source / vignettes | OK | 210 | ||
| linux-release | OK | 127 | ||
| macos-release | OK | 196 | ||
| macos-oldrel | OK | 190 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 139 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 118 |
Exports:binomialboxcoxpowerboxcoxtypeKfind.boxcoxnp.boxcoxmixoptim.boxcoxtolfind.boxcox
Dependencies:clicpp11deldirfarverggplot2gluegtableinterpisobandjpeglabelinglatticelatticeExtralifecycleMASSnpmlregpngqichartsR6RColorBrewerRcppRcppEigenrlangS7scalesstatmodvctrsviridisLitewithr
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 |
