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 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>.
Version: 2.4.2 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 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) Suggests: data.table, knitr, rmarkdown Published: 2025-03-05 DOI: 10.32614/CRAN.package.hbamr Author: Jørgen Bølstad [aut, cre] Maintainer: Jørgen Bølstad <jorgen.bolstad at stv.uio.no> BugReports: https://github.com/jbolstad/hbamr/issues License: GPL (≥ 3) URL: https://jbolstad.github.io/hbamr/ NeedsCompilation: yes SystemRequirements: GNU make Citation: hbamr citation info Materials: NEWS CRAN checks: hbamr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hbamr to link to this page.
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