CRAN/E | AIPW

AIPW

Augmented Inverse Probability Weighting

Installation

About

The 'AIPW' pacakge implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021, In Press). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology". Visit: for more information.

Citation AIPW citation info
github.com/yqzhong7/AIPW
Bug report File report

Key Metrics

Version 0.6.3.2
R ≥ 2.10
Published 2021-06-11 1051 days ago
Needs compilation? no
License GPL-3
CRAN checks AIPW results
Language es

Downloads

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Maintainer

Maintainer

Yongqi Zhong

yq.zhong7@gmail.com

Authors

Yongqi Zhong

aut / cre

Ashley Naimi

aut

Gabriel Conzuelo

ctb

Edward Kennedy

ctb

Material

README
Reference manual
Package source

In Views

CausalInference

Vignettes

Getting Started with AIPW

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

stats
utils
R6
SuperLearner
ggplot2
future.apply
progressr
Rsolnp

Suggests

testthat ≥ 2.1.0
knitr
rmarkdown
covr
tmle