The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

lboxcox: Implementation of Logistic Box-Cox Regression

Implements a logistic box-cox model. This model is fully described in Xing, L. et al. (2021) <doi:10.1002/cjs.11587>.

Version: 1.2
Depends: R (≥ 3.50)
Imports: survey, maxLik, doParallel, foreach, MASS, dplyr, R.utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-12-15
DOI: 10.32614/CRAN.package.lboxcox
Author: Li Xing [cre, aut], Shiyu Xu [aut], Jing Wang [aut], Kohlton Booth [aut], Xuekui Zhang [aut], Igor Burstyn [aut], Paul Gustafson [aut]
Maintainer: Li Xing <sfulxing at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: lboxcox results

Documentation:

Reference manual: lboxcox.pdf
Vignettes: lboxcox_train

Downloads:

Package source: lboxcox_1.2.tar.gz
Windows binaries: r-devel: lboxcox_1.2.zip, r-release: lboxcox_1.2.zip, r-oldrel: lboxcox_1.2.zip
macOS binaries: r-release (arm64): lboxcox_1.2.tgz, r-oldrel (arm64): lboxcox_1.2.tgz, r-release (x86_64): lboxcox_1.2.tgz, r-oldrel (x86_64): lboxcox_1.2.tgz
Old sources: lboxcox archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lboxcox to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.