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ProbMarg  

Computing Logit & Probit Predicted Probabilities & Marginal Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ProbMarg", "1.0.1")



Attach the package and use:
library("ProbMarg")
Maintained by
Tim Liao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-20
Latest Update: 2020-06-27
Description:
Computes predicted probabilities and marginal effects for binary & ordinal logit and probit, (partial) generalized ordinal & multinomial logit models estimated with the glm(), clm() (in the 'ordinal' package), and vglm() (in the 'VGAM' package) functions.
How to cite:
Tim Liao (2020). ProbMarg: Computing Logit & Probit Predicted Probabilities & Marginal Effects. R package version 1.0.1, https://cran.r-project.org/web/packages/ProbMarg. Accessed 28 Jun. 2026.
Previous versions and publish date:
1.0.0 (2020-03-20 10:50)
Other packages that cited ProbMarg R package
View ProbMarg citation profile
Other R packages that ProbMarg depends, imports, suggests or enhances
Complete documentation for ProbMarg
Functions, R codes and Examples using the ProbMarg R package
Some associated functions: adm . margEffects . predProbs . 
Some associated R codes: margEffects.R . predProbs.R .  Full ProbMarg package functions and examples
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