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modmarg
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
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[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 15 Oct. 2026.
Previous versions and publish date:
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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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