Package: CMatching 2.4

Massimo Cannas

CMatching: Matching Algorithms for Causal Inference with Clustered Data

Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.

Authors:Massimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb]

CMatching_2.4.tar.gz
CMatching_2.4.zip(r-4.7-any)CMatching_2.4.zip(r-4.6-any)
CMatching_2.4.tar.gz(r-4.7-any)CMatching_2.4.tar.gz(r-4.6-any)
CMatching_2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CMatching/json (API)

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

On CRAN:

Conda:

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

1.00 score 1 stars 9 scripts 301 downloads 6 exports 18 dependencies

Last updated from:92e7612e1e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK135
source / vignettesOK161
linux-releaseOK209
windows-develOK100
windows-releaseOK84
wasm-releaseOK106

Exports:CMatchCMatchBalanceMatchPWMatchWprint.summary.CMatchsummary.CMatch

Dependencies:bootlatticelme4lmtestMASSMatchingMatrixminqamultiwayvcovnlmenloptrrbibutilsRcppRcppEigenRdpackreformulassandwichzoo