tlm: Effects under Linear, Logistic and Poisson Regression Models with Transformed Variables

Computation of effects under linear, logistic and Poisson regression models with transformed variables. Logarithm and power transformations are allowed. Effects can be displayed both numerically and graphically in both the original and the transformed space of the variables. The methods are described in Barrera-Gomez and Basagana (2015) <doi:10.1097/EDE.0000000000000247>.

Version: 0.2.0
Depends: R (≥ 4.1)
Imports: graphics, stats, utils, boot
Suggests: knitr, rmarkdown, xtable
Published: 2025-01-07
DOI: 10.32614/CRAN.package.tlm
Author: Jose Barrera-Gomez ORCID iD [aut, cre], Xavier Basagana ORCID iD [aut]
Maintainer: Jose Barrera-Gomez <jose.barrera at isglobal.org>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: tlm citation info
Materials: README NEWS
CRAN checks: tlm results

Documentation:

Reference manual: tlm.pdf
Vignettes: Using tlm to fit, visualize and interpret regression models with transformed variables (source, R code)

Downloads:

Package source: tlm_0.2.0.tar.gz
Windows binaries: r-devel: tlm_0.1.5.zip, r-release: tlm_0.1.5.zip, r-oldrel: tlm_0.1.5.zip
macOS binaries: r-release (arm64): tlm_0.2.0.tgz, r-oldrel (arm64): tlm_0.2.0.tgz, r-release (x86_64): tlm_0.2.0.tgz, r-oldrel (x86_64): tlm_0.2.0.tgz
Old sources: tlm archive

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