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hbamr
View on CRAN: Click
here
Download and install hbamr package within the R console
Install from CRAN:
install.packages("hbamr")
Install from Github:
library("remotes")
install_github("cran/hbamr")
Install by package version:
library("remotes")
install_version("hbamr", "2.4.2")
Attach the package and use:
library("hbamr")
Maintained by
Jørgen Bølstad
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.hbamr . https://github.com/jbolstad/hbamr/issues . https://jbolstad.github.io/hbamr/ . hbamr citation info . hbamr results . hbamr.pdf . hbamr_2.4.2.tar.gz . hbamr_2.4.2.zip . hbamr_2.4.2.zip . hbamr_2.4.2.zip . hbamr_2.4.2.tgz . hbamr_2.4.2.tgz . hbamr_2.4.2.tgz . hbamr_2.4.2.tgz . hbamr archive . https://CRAN.R-project.org/package=hbamr .
First Published: 2023-03-14
Latest Update: 2024-02-23
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 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 B
How to cite:
Jørgen Bølstad (2023). hbamr: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'. R package version 2.4.2, https://cran.r-project.org/web/packages/hbamr. Accessed 03 May. 2025.
Previous versions and publish date:
1.0.5 (2023-03-14 19:30), 1.1.1 (2023-04-24 21:20), 1.1.3 (2023-06-07 16:20), 1.1.6 (2023-06-09 18:10), 1.2.0 (2023-09-25 17:00), 2.0.1 (2024-01-08 12:40), 2.1.0 (2024-01-17 16:10), 2.1.1 (2024-01-25 11:30), 2.1.2 (2024-02-07 10:20), 2.2.0 (2024-02-14 15:40), 2.2.1 (2024-02-23 13:30), 2.3.0 (2024-03-31 21:20), 2.3.1 (2024-06-04 17:50), 2.3.2 (2024-09-23 14:20), 2.4.0 (2025-01-27 00:30), 2.4.1 (2025-02-13 06:30)
Other packages that cited hbamr R package
View hbamr citation profile
Other R packages that hbamr depends,
imports, suggests or enhances
Complete documentation for hbamr
Functions, R codes and Examples using
the hbamr R package
Some associated functions: LC1980 . LC2012 . fbam . get_est . get_plot_data . hbam . hbam_cv . hbamr-package . plot_over_self . plot_respondents . plot_stimuli . prep_data . prep_data_cv . show_code .
Some associated R codes: LC1980.R . LC2012.R . create_data.R . fbam.R . get_est.R . get_plot_data.R . hbam.R . hbam_cv.R . hbamr-package.R . inits.R . other_functions.R . plot_over_self.R . plot_respondents.R . plot_stimuli.R . prep_data.R . prep_data_cv.R . run_para_sims.R . run_sim.R . show_code.R . stanmodels.R . Full hbamr package functions and examples
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