Package: multe 1.1.0.9000

multe: Multiple Treatment Effects Regression

Implements contamination bias diagnostics and alternative estimators for regressions with multiple treatments. The implementation is based on Goldsmith-Pinkham, Hull, and Kolesár (2024) <doi:10.48550/arXiv.2106.05024>.

Authors:Michal Kolesár [aut, cre], Paul Goldsmith-Pinkham [ctb], Peter Hull [ctb]

multe_1.1.0.9000.tar.gz
multe_1.1.0.9000.zip(r-4.7)multe_1.1.0.9000.zip(r-4.6)multe_1.1.0.9000.zip(r-4.5)
multe_1.1.0.9000.tgz(r-4.6-any)multe_1.1.0.9000.tgz(r-4.5-any)
multe_1.1.0.9000.tar.gz(r-4.7-any)multe_1.1.0.9000.tar.gz(r-4.6-any)
multe_1.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
multe/json (API)
NEWS

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

Bug tracker:https://github.com/kolesarm/multe/issues

Datasets:
  • fl - ECLS data from Fryer and Levitt

On CRAN:

Conda:

regression

4.93 score 17 stars 2 scripts 115 downloads 1 exports 1 dependencies

Last updated from:3731a1809f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK176
linux-release-x86_64OK114
macos-release-arm64OK109
macos-oldrel-arm64OK125
windows-develOK92
windows-releaseOK143
windows-oldrelOK76
wasm-releaseOK101

Exports:multe

Dependencies:nnet

Multiple Treatment Effects Regression

Rendered frommulte.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2024-07-10
Started: 2023-08-02