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modmarg  

Calculating Marginal Effects and Levels with Errors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("modmarg", "0.9.6")



Attach the package and use:
library("modmarg")
Maintained by
Annie Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-05
Latest Update: 2020-11-22
Description:
Calculate predicted levels and marginal effects, using the delta method to calculate standard errors. This is an R-based version of the 'margins' command from Stata.
How to cite:
Annie Wang (2017). modmarg: Calculating Marginal Effects and Levels with Errors. R package version 0.9.6, https://cran.r-project.org/web/packages/modmarg. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.5.0 (2017-06-05 19:43), 0.6.0 (2017-08-13 22:49), 0.9.0 (2017-10-29 15:40), 0.9.2 (2018-02-01 17:56)
Other packages that cited modmarg R package
View modmarg citation profile
Other R packages that modmarg depends, imports, suggests or enhances
Complete documentation for modmarg
Functions, R codes and Examples using the modmarg R package
Some associated functions: cvcov . marg.glm . marg.ivreg . marg . margex . pred_se . 
Some associated R codes: calc_jacob.R . cvcov.R . data_clean.R . discrete_effects.R . glm_marg.R . ivreg_marg.R . marg.R . margex.R . output.R . pred_se.R .  Full modmarg package functions and examples
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