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CLRtools: Diagnostic Tools for Logistic and Conditional Logistic Regression

Provides tools for fitting, assessing, and comparing logistic and conditional logistic regression models. Includes residual diagnostics and goodness of fit measures for model development and evaluation in matched case control studies.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: bayesplot, caret, dplyr, ggplot2, ggpubr, lmtest, loo, patchwork, RColorBrewer, rlang, rstan, survival, tidyr
Suggests: dagitty, ggdag, knitr, rmarkdown, rstanarm
Published: 2026-01-29
DOI: 10.32614/CRAN.package.CLRtools
Author: Brenda Contla Hernández [aut, cre], Matthieu Vignes [ctb] (Provided statistical guidance, conceptual feedback, and supervision), Chris Compton [ctb] (Provided statistical guidance, conceptual feedback, and supervision)
Maintainer: Brenda Contla Hernández <brendacontla11 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: CLRtools results

Documentation:

Reference manual: CLRtools.html , CLRtools.pdf
Vignettes: Bayesian_Logistic_regression (source, R code)
Conditional_Logistic_Regression (source, R code)
Logistic_Regression (source, R code)

Downloads:

Package source: CLRtools_0.1.0.tar.gz
Windows binaries: r-devel: CLRtools_0.1.0.zip, r-release: not available, r-oldrel: CLRtools_0.1.0.zip
macOS binaries: r-release (arm64): CLRtools_0.1.0.tgz, r-oldrel (arm64): CLRtools_0.1.0.tgz, r-release (x86_64): CLRtools_0.1.0.tgz, r-oldrel (x86_64): CLRtools_0.1.0.tgz

Linking:

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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.
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