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{
    "name": "R-hbamr",
    "portdir": "R/R-hbamr",
    "version": "2.2.0",
    "license": "GPL-3+",
    "platforms": "darwin",
    "epoch": 0,
    "replaced_by": null,
    "homepage": "https://jbolstad.github.io/hbamr",
    "description": "Hierarchical Bayesian Aldrich–McKelvey scaling via Stan",
    "long_description": "Perform hierarchical Bayesian Aldrich–McKelvey scaling using Hamiltonian Monte Carlo via Stan. Aldrich–McKelvey (AM) scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data.",
    "active": true,
    "categories": [
        "science",
        "math",
        "R"
    ],
    "maintainers": [
        {
            "name": "vital.had",
            "github": "barracuda156",
            "ports_count": 2370
        }
    ],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "R",
                "clang-15"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "R-dplyr",
                "R-loo",
                "R-matrixStats",
                "R-progressr",
                "R-tidyr",
                "R-RColorBrewer",
                "R-rlang",
                "R-CRAN-recommended",
                "R-ggplot2",
                "R-plyr",
                "R-rstan",
                "R-rstantools",
                "R-future",
                "R-future.apply",
                "R-BH",
                "R-Rcpp",
                "R-RcppEigen",
                "R-RcppParallel",
                "R-pbmcapply",
                "R-StanHeaders"
            ]
        },
        {
            "type": "run",
            "ports": [
                "R"
            ]
        },
        {
            "type": "test",
            "ports": [
                "R-data.table",
                "R-knitr",
                "R-rmarkdown"
            ]
        }
    ],
    "depends_on": []
}