Package: hbamr
Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Version: 2.4.7
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 latent 
    positions of survey respondents and external objects on a common scale using positional survey 
    data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform 
    other versions 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 original version of the default 
    model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.
License: GPL (>= 3)
URL: https://jbolstad.github.io/hbamr/
BugReports: https://github.com/jbolstad/hbamr/issues
Depends: R (>= 3.4.0)
Imports: colorspace, dplyr, future, future.apply, ggplot2, loo,
        matrixStats, methods, parallel, plyr, progressr, RColorBrewer,
        Rcpp (>= 1.0.7), RcppParallel (>= 5.1.4), rlang, rstan (>=
        2.26.1), rstantools (>= 2.2.0), stats, tidyr
Suggests: data.table, knitr, rmarkdown
LinkingTo: BH (>= 1.66.0), Rcpp (>= 1.0.7), RcppEigen (>= 0.3.3.9.1),
        RcppParallel (>= 5.1.4), rstan (>= 2.26.1), StanHeaders (>=
        2.26.22)
Biarch: true
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-23 02:17:58 UTC; jorgbols
Author: Jørgen Bølstad [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7623-5741>)
Maintainer: Jørgen Bølstad <jorgen.bolstad@stv.uio.no>
Repository: CRAN
Date/Publication: 2026-06-23 02:40:03 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-08-26 03:01:28 UTC; windows
Archs: x64
