Offers item-response theory (IRT) ideal-point measurement modeling for diverse distributions, missing data, and over-time variation. Full and approximate Bayesian sampling with 'Stan' (<https://mc-stan.org/>).
| Version: |
1.0 |
| Depends: |
methods, R (≥ 4.0.0) |
| Imports: |
dplyr, svDialogs, tidyr, stringr, bayesplot, posterior, gghighlight, ggrepel, ggplot2, tidybayes, lazyeval, rlang, ggthemes, forcats, ordbetareg, scales, shiny, tibble |
| Suggests: |
cmdstanr, quarto, knitr, rmarkdown, loo, lubridate, rstan, shinystan, pscl, tinytable, testthat (≥ 3.0.0) |
| Published: |
2026-05-12 |
| DOI: |
10.32614/CRAN.package.idealstan |
| Author: |
Robert Kubinec [aut, cre] |
| Maintainer: |
Robert Kubinec <bobkubinec at gmail.com> |
| BugReports: |
https://github.com/saudiwin/idealstan/issues |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| SystemRequirements: |
GNU make |
| Additional_repositories: |
https://stan-dev.r-universe.dev |
| Citation: |
idealstan citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
idealstan results |