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
NeedsCompilation: no
Packaged: 2026-04-08 22:35:03 UTC; Subir
Author: Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>)
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-15 13:10:07 UTC
Built: R 4.6.0; ; 2026-04-28 06:53:52 UTC; unix
