CRAN/E | CRE

CRE

Interpretable Discovery and Inference of Heterogeneous Treatment Effects

Installation

About

Provides a new method for interpretable heterogeneous treatment effects characterization in terms of decision rules via an extensive exploration of heterogeneity patterns by an ensemble-of-trees approach, enforcing high stability in the discovery. It relies on a two-stage pseudo-outcome regression, and it is supported by theoretical convergence guarantees. Bargagli-Stoffi, F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal rule ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects. arXiv preprint .

github.com/NSAPH-Software/CRE
Copyright Harvard University
Bug report File report

Key Metrics

Version 0.2.5
R ≥ 3.5.0
Published 2023-12-06 136 days ago
Needs compilation? no
License GPL-3
CRAN checks CRE results
Language en-US

Downloads

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Last 7 days 65 +12%
Last 30 days 305 -8%
Last 90 days 1.114 +12%
Last 365 days 3.935 +106%

Maintainer

Maintainer

Naeem Khoshnevis

nkhoshnevis@g.harvard.edu

Authors

Naeem Khoshnevis

aut / cre

(FASRC)

Daniela Maria Garcia

aut

Riccardo Cadei

aut

Kwonsang Lee

aut

Falco Joannes Bargagli Stoffi

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

CRE
Contribution
Testing the CRE package

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

Old Sources

CRE archive

Depends

R ≥ 3.5.0

Imports

MASS
stats
logger
gbm
randomForest
methods
xgboost
RRF
data.table
xtable
glmnet
bartCause
stabs
stringr
SuperLearner
magrittr
ggplot2
inTrees

Suggests

grf
BART
gnm
covr
knitr
rmarkdown
testthat ≥ 3.0.0