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RcausalEGM  

A General Causal Inference Framework by Encoding Generative Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RcausalEGM", "0.3.3")



Attach the package and use:
library("RcausalEGM")
Maintained by
Qiao Liu
[Scholar Profile | Author Map]
First Published: 2023-03-28
Latest Update: 2023-03-28
Description:
CausalEGM is a general causal inference framework for estimating causal effects by encoding generative modeling, which can be applied in both discrete and continuous treatment settings. A description of the methods is given in Liu (2022) .
How to cite:
Qiao Liu (2023). RcausalEGM: A General Causal Inference Framework by Encoding Generative Modeling. R package version 0.3.3, https://cran.r-project.org/web/packages/RcausalEGM. Accessed 12 Feb. 2025.
Previous versions and publish date:
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Complete documentation for RcausalEGM
Functions, R codes and Examples using the RcausalEGM R package
Full RcausalEGM package functions and examples
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