Package: bartCause 1.0-9

bartCause: Causal Inference using Bayesian Additive Regression Trees

Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) <doi:10.1198/jcgs.2010.08162>).

Authors:Vincent Dorie [aut, cre], Jennifer Hill [aut]

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bartCause.pdf |bartCause.html✨
bartCause/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/vdorie/bartcause/issues

On CRAN:

6.87 score 79 stars 3 packages 70 scripts 600 downloads 7 exports 1 dependencies

Last updated 2 months agofrom:c212c1168e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winOKNov 15 2024
R-4.5-linuxOKNov 15 2024
R-4.4-winOKNov 15 2024
R-4.4-macOKNov 15 2024
R-4.3-winOKNov 15 2024
R-4.3-macOKNov 15 2024

Exports:bartcextractplot_estplot_indivplot_sigmaplot_supportrefit

Dependencies:dbarts

Readme and manuals

Help Manual

Help pageTopics
Causal Inference using Bayesian Additive Regression Treesbartc
Generic Methods for 'bartcFit' Objectsbartc-generics extract extract.bartcFit fitted.bartcFit predict.bartcFit refit refit.bartcFit
Plot methods for 'bartc'bartc-plot plot_est plot_indiv plot_sigma plot_support
Summary for 'bartcFit' Objectssummary.bartcFit