Package: tlm 0.2.0

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>.

Authors:Jose Barrera-Gomez [aut, cre], Xavier Basagana [aut]

tlm_0.2.0.tar.gz
tlm_0.2.0.zip(r-4.5)tlm_0.2.0.zip(r-4.4)tlm_0.2.0.zip(r-4.3)
tlm_0.2.0.tgz(r-4.5-any)tlm_0.2.0.tgz(r-4.4-any)tlm_0.2.0.tgz(r-4.3-any)
tlm_0.2.0.tar.gz(r-4.5-noble)tlm_0.2.0.tar.gz(r-4.4-noble)
tlm_0.2.0.tgz(r-4.4-emscripten)tlm_0.2.0.tgz(r-4.3-emscripten)
tlm.pdf |tlm.html
tlm/json (API)
NEWS

# Install 'tlm' in R:
install.packages('tlm', repos = c('https://jobago.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • cotinine - Birth Weight and Cord Serum Cotinine
  • feld1 - Cat Allergen Concentrations
  • glucose - Glucose and Triglycerides Levels in Blood
  • imt - Intima Media Thickness of the Carotid Artery

On CRAN:

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

2.81 score 13 scripts 261 downloads 4 exports 1 dependencies

Last updated 1 months agofrom:c4b0aa4fa8. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-winOKFeb 06 2025
R-4.5-macOKFeb 06 2025
R-4.5-linuxOKFeb 06 2025
R-4.4-winOKFeb 06 2025
R-4.4-macOKFeb 06 2025
R-4.3-winOKFeb 06 2025
R-4.3-macOKFeb 06 2025

Exports:effecteffectInfoMYtlm

Dependencies:boot

Using tlm to fit, visualize and interpret regression models with transformed variables

Rendered fromtlm.Rnwusingknitr::knitron Feb 06 2025.

Last update: 2025-01-07
Started: 2014-09-08