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intmed
View on CRAN: Click
here
Download and install intmed package within the R console
Install from CRAN:
install.packages("intmed")
Install from Github:
library("remotes")
install_github("cran/intmed")
Install by package version:
library("remotes")
install_version("intmed", "0.1.2")
Attach the package and use:
library("intmed")
Maintained by
Gary Chan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-01
Latest Update: 2020-08-27
Description:
Implementing the interventional effects for mediation analysis for up to 3 mediators.
The methods used are based on VanderWeele, Vansteelandt and Robins (2014) ,
Vansteelandt and Daniel (2017) and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).
Linear regression, logistic regression and Poisson regression are used for continuous, binary
and count mediator/outcome variables respectively.
How to cite:
Gary Chan (2020). intmed: Mediation Analysis using Interventional Effects. R package version 0.1.2, https://cran.r-project.org/web/packages/intmed
Previous versions and publish date:
0.1.1 (2020-03-01 14:00)
Other packages that cited intmed R package
View intmed citation profile
Other R packages that intmed depends,
imports, suggests or enhances
Functions, R codes and Examples using
the intmed R package
Some associated functions: intmed . mediate . sim_data . substance .
Some associated R codes: descriptive.R . gen_html_results.R . impute.R . intmed.R . mediate.R . sim_data.R . substance.R . utility_function.R . Full intmed package functions and examples
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