The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

idealstan: Robust Measurement with 'Stan'

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

Documentation:

Reference manual: idealstan.html , idealstan.pdf
Vignettes: Introduction to idealstan (source, R code)

Downloads:

Package source: idealstan_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: idealstan_1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): idealstan_1.0.tgz, r-oldrel (arm64): idealstan_1.0.tgz, r-release (x86_64): idealstan_1.0.tgz, r-oldrel (x86_64): idealstan_1.0.tgz
Old sources: idealstan archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=idealstan to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.