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fastlogitME  

Basic Marginal Effects for Logit Models
View on CRAN: Click here


Download and install fastlogitME package within the R console
Install from CRAN:
install.packages("fastlogitME")

Install from Github:
library("remotes")
install_github("cran/fastlogitME")

Install by package version:
library("remotes")
install_version("fastlogitME", "0.1.0")



Attach the package and use:
library("fastlogitME")
Maintained by
Mathieu Steijn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-05
Latest Update: 2020-11-05
Description:
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.
How to cite:
Mathieu Steijn (2020). fastlogitME: Basic Marginal Effects for Logit Models. R package version 0.1.0, https://cran.r-project.org/web/packages/fastlogitME. Accessed 09 Mar. 2026.
Previous versions and publish date:
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Complete documentation for fastlogitME
Functions, R codes and Examples using the fastlogitME R package
Some associated functions: fastlogitME . 
Some associated R codes: fastlogitME.R .  Full fastlogitME package functions and examples
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