Package: MLCausal
Type: Package
Title: Causal Inference Methods for Multilevel and Clustered Data
Version: 0.1.0
Date: 2026-04-07
Authors@R: 
    person(given = "Subir",
           family = "Hait",
           email = "haitsubi@msu.edu",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0004-9871-9677"))
Description: Provides an end-to-end workflow for estimating average
        treatment effects in clustered (multilevel) observational data.
        Core functionality includes cluster-aware propensity score
        estimation using fixed effects and Mundlak-style
        specifications, inverse probability weighting, within-cluster
        nearest-neighbor matching, covariate balance diagnostics at
        both individual and cluster-mean levels, outcome regression
        with cluster-robust standard errors, propensity score overlap
        visualization, and tipping-point sensitivity analysis for
        omitted cluster-level confounding.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/causalfragility-lab/MLCausal
BugReports: https://github.com/causalfragility-lab/MLCausal/issues
Depends: R (>= 4.1.0)
Imports: stats, sandwich (>= 3.0-0), lmtest (>= 0.9-38), ggplot2 (>=
        3.3.0), rlang (>= 0.4.0)
Suggests: testthat (>= 3.0.0), knitr (>= 1.36), rmarkdown (>= 2.11)
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Repository: https://causalfragility-lab.r-universe.dev
Date/Publication: 2026-04-08 20:16:35 UTC
RemoteUrl: https://github.com/causalfragility-lab/mlcausal
RemoteRef: HEAD
RemoteSha: a0632ea1ed2525926f6a35d0512cc34f4c5577d5
NeedsCompilation: no
Packaged: 2026-07-14 06:32:59 UTC; root
Author: Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>)
Maintainer: Subir Hait <haitsubi@msu.edu>