Package: fastlogitME 0.1.0

Mathieu Steijn

fastlogitME: Basic Marginal Effects for Logit Models

Calculates marginal effects based on logistic model objects such as 'glm' or 'speedglm' at the average (default) or at given values using finite differences. It also returns confidence intervals for said marginal effects and the p-values, which can easily be used as input in stargazer. The function only returns the essentials and is therefore much faster but not as detailed as other functions available to calculate marginal effects. As a result, it is highly suitable for large datasets for which other packages may require too much time or calculating power.

Authors:Mathieu Steijn

fastlogitME_0.1.0.tar.gz
fastlogitME_0.1.0.tar.gz(r-4.5-noble)fastlogitME_0.1.0.tar.gz(r-4.4-noble)
fastlogitME_0.1.0.tgz(r-4.4-emscripten)fastlogitME_0.1.0.tgz(r-4.3-emscripten)
fastlogitME.pdf |fastlogitME.html
fastlogitME/json (API)

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

Peer review:

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

1.70 score 152 downloads 1 exports 0 dependencies

Last updated 4 years agofrom:492da9a269. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-linuxOKOct 12 2024

Exports:fastlogitME

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