Package: hbamr
Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Version: 1.0.5
Authors@R: 
    person("Jørgen", "Bølstad", , "jorgen.bolstad@stv.uio.no", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-7623-5741"))
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. The hierarchical versions of the Bayesian 'AM' model included in this package outperform 
    other versions by a considerable margin both in terms of yielding meaningful posterior 
    distributions for respondent positions and in terms of recovering true respondent positions 
    in simulations. The package contains functions for preparing data, fitting models, extracting 
    estimates, plotting key results, and comparing models using cross-validation. The models in 
    this package are described in: Bølstad (forthcoming) ''Hierarchical Bayesian Aldrich-McKelvey 
    Scaling'', Political Analysis.
License: GPL (>= 3)
URL: https://github.com/jbolstad/hbamr/
Depends: R (>= 3.4.0)
Imports: dplyr, ggplot2, loo, matrixStats, methods, parallel,
        pbmcapply, plyr, RColorBrewer, Rcpp (>= 0.12.0), RcppParallel
        (>= 5.0.1), rlang, rstan (>= 2.18.1), rstantools (>= 2.2.0),
        stats, tidyr
Suggests: data.table, knitr, rmarkdown
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
Biarch: true
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-13 17:24:48 UTC; boelstad
Author: Jørgen Bølstad [aut, cre] (<https://orcid.org/0000-0002-7623-5741>)
Maintainer: Jørgen Bølstad <jorgen.bolstad@stv.uio.no>
Repository: CRAN
Date/Publication: 2023-03-14 18:30:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 18:01:35 UTC; windows
Archs: i386, x64
