CRAN/E | RcausalEGM

RcausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

Installation

About

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) .

github.com/SUwonglab/CausalEGM
Bug report File report

Key Metrics

Version 0.3.3
R ≥ 3.6.0
Published 2023-03-28 447 days ago
Needs compilation? no
License MIT
License File
CRAN checks RcausalEGM results

Downloads

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Maintainer

Maintainer

Qiao Liu

Authors

Qiao Liu

aut / cre

Wing Wong

aut

Balasubramanian Narasimhan

ctb

Material

NEWS
Reference manual
Package source

Vignettes

Binary Treatment
Continous Treatment

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.6.0

Imports

reticulate

Suggests

rmarkdown
knitr
testthat ≥ 3.0.0