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CausalModels  

Causal Inference Modeling for Estimation of Causal Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CausalModels", "0.2.0")



Attach the package and use:
library("CausalModels")
Maintained by
Joshua Anderson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-30
Latest Update: 2022-11-23
Description:
Provides an array of statistical models common in causal inference such as standardization, IP weighting, propensity matching, outcome regression, and doubly-robust estimators. Estimates of the average treatment effects from each model are given with the standard error and a 95% Wald confidence interval (Hernan, Robins (2020) ).
How to cite:
Joshua Anderson (2022). CausalModels: Causal Inference Modeling for Estimation of Causal Effects. R package version 0.2.0, https://cran.r-project.org/web/packages/CausalModels. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-05-30 17:40)
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Complete documentation for CausalModels
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