Package: lboxcox 1.2

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>.

Authors:Li Xing [cre, aut], Shiyu Xu [aut], Jing Wang [aut], Kohlton Booth [aut], Xuekui Zhang [aut], Igor Burstyn [aut], Paul Gustafson [aut]

lboxcox_1.2.tar.gz
lboxcox_1.2.zip(r-4.5)lboxcox_1.2.zip(r-4.4)lboxcox_1.2.zip(r-4.3)
lboxcox_1.2.tgz(r-4.4-any)lboxcox_1.2.tgz(r-4.3-any)
lboxcox_1.2.tar.gz(r-4.5-noble)lboxcox_1.2.tar.gz(r-4.4-noble)
lboxcox_1.2.tgz(r-4.4-emscripten)lboxcox_1.2.tgz(r-4.3-emscripten)
lboxcox.pdf |lboxcox.html
lboxcox/json (API)

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

10 exports 0.09 score 39 dependencies 5 scripts 259 downloads

Last updated 9 months agofrom:88d264c6af. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winOKSep 11 2024
R-4.5-linuxOKSep 11 2024
R-4.4-winOKSep 11 2024
R-4.4-macOKSep 11 2024
R-4.3-winOKSep 11 2024
R-4.3-macOKSep 11 2024

Exports:box_cox_newlbc_maxliklbc_trainlboxcox_maxLik.predictLogLikeFunLogLikeFun_newmedian_effectScoreFunScoreFun_newsvyglm_ms

Dependencies:clicodetoolsDBIdigestdoParalleldplyrfansiforeachgenericsglueiteratorslatticelifecyclemagrittrMASSMatrixmaxLikminqamiscToolsmitoolsnumDerivpillarpkgconfigR.methodsS3R.ooR.utilsR6RcppRcppArmadillorlangsandwichsurveysurvivaltibbletidyselectutf8vctrswithrzoo

lboxcox: an R package for the logistic Box-Cox model

Rendered fromlboxcox_train.Rmdusingknitr::rmarkdownon Sep 11 2024.

Last update: 2023-12-16
Started: 2022-01-27