Package: CausalGAM 0.1-4

Kevin Quinn

CausalGAM: Estimation of Causal Effects with Generalized Additive Models

Implements various estimators for average treatment effects - an inverse probability weighted (IPW) estimator, an augmented inverse probability weighted (AIPW) estimator, and a standard regression estimator - that make use of generalized additive models for the treatment assignment model and/or outcome model. See: Glynn, Adam N. and Kevin M. Quinn. 2010. "An Introduction to the Augmented Inverse Propensity Weighted Estimator." Political Analysis. 18: 36-56.

Authors:Adam Glynn <[email protected]>, Kevin Quinn <[email protected]>

CausalGAM_0.1-4.tar.gz
CausalGAM_0.1-4.tar.gz(r-4.7-any)CausalGAM_0.1-4.tar.gz(r-4.6-any)
CausalGAM_0.1-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CausalGAM/json (API)

# Install 'CausalGAM' in R:
install.packages('CausalGAM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.36 score 23 scripts 49 downloads 2 exports 4 dependencies

Last updated from:2243d0866d. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK145
source / vignettesOK155
linux-release-x86_64OK107
wasm-releaseOK93

Exports:balance.IPWestimate.ATE

Dependencies:codetoolsforeachgamiterators