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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:492da9a269. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 11 2024 |
| R-4.5-linux | OK | Dec 11 2024 |
Exports:fastlogitME
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Basic Marginal Effects for Logit Models | fastlogitME |