Package: birdie
Title: Bayesian Instrumental Regression for Disparity Estimation
Version: 0.7.1
Authors@R: c(
    person("Cory", "McCartan", role=c("aut", "cre"), email="mccartan@psu.edu"),
    person("Kosuke", "Imai", role="ctb", email="imai@harvard.edu"),
    person("Daniel", "Ho", role="ctb", email="dho@law.stanford.edu"),
    person("Jacob", "Goldin", role="ctb", email="jsgoldin@uchicago.edu"),
    person("Robin", "Fisher", role="ctb", email="robin.fisher@treasury.gov"),
    person("The Stan", "Development Team", role = "cph", comment = "include/rstan")
    )
Description: Bayesian models for accurately estimating conditional 
    distributions by race, using Bayesian Improved Surname Geocoding (BISG) 
    probability estimates of individual race. Implements the methods described
    in McCartan, Fisher, Goldin, Ho and Imai (2025) <doi:10.1080/01621459.2025.2526695>.
Depends: R (>= 3.5.0)
Imports: rlang (>= 0.1.2), Rcpp (>= 0.12.0), cli, vctrs, generics,
        dplyr, methods, stringi, stringr, RcppParallel (>= 5.0.1),
        SQUAREM
Suggests: daarem, easycensus, wru, knitr, roxygen2, rmarkdown, rstan,
        testthat (>= 3.0.0)
LinkingTo: Rcpp (>= 0.12.0), cli, BH (>= 1.66.0), RcppEigen (>=
        0.3.3.3.0), RcppParallel (>= 5.0.1), RcppThread, StanHeaders
        (>= 2.18.0)
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Config/testthat/edition: 3
SystemRequirements: GNU make, C++17
Biarch: true
LazyData: true
URL: https://github.com/CoryMcCartan/birdie,
        https://corymccartan.com/birdie/
BugReports: https://github.com/CoryMcCartan/birdie/issues
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-07-24 16:05:49 UTC; cmccartan
Author: Cory McCartan [aut, cre],
  Kosuke Imai [ctb],
  Daniel Ho [ctb],
  Jacob Goldin [ctb],
  Robin Fisher [ctb],
  The Stan Development Team [cph] (include/rstan)
Maintainer: Cory McCartan <mccartan@psu.edu>
Repository: CRAN
Date/Publication: 2025-07-24 16:40:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 11:52:39 UTC; unix
Archs: birdie.so.dSYM
