Package: idealstan 1.0

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/>).

Authors:Robert Kubinec [aut, cre]

idealstan_1.0.tar.gz
idealstan_1.0.zip(r-4.7-any)idealstan_1.0.zip(r-4.6-any)idealstan_1.0.zip(r-4.5-any)
idealstan_1.0.tgz(r-4.6-any)idealstan_1.0.tgz(r-4.5-any)
idealstan_1.0.tar.gz(r-4.7-any)idealstan_1.0.tar.gz(r-4.6-any)
idealstan_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
idealstan/json (API)

# Install 'idealstan' in R:

install.packages('idealstan', repos = c('https://saudiwin.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/saudiwin/idealstan/issues

Datasets:

delaware - Rollcall vote data for Delaware State Legislature
senate114 - Rollcall vote data for 114th Senate

On CRAN:

bayesian irt stan quarto

7.43 score 59 stars 38 scripts 394 downloads 27 exports 110 dependencies

Last updated from:9acabb3934. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	365
source / vignettes	OK	456
linux-release	OK	363
macos-release	OK	200
macos-oldrel	OK	291
windows-devel	OK	227
windows-release	OK	208
windows-oldrel	OK	212
wasm-release	OK	304

Exports:derive_chain id_estimate id_extract id_make id_me id_plot_all_hist id_plot_compare id_plot_cov id_plot_gbeta_prior id_plot_items id_plot_legis id_plot_legis_dyn id_plot_legis_var id_plot_persons id_plot_persons_dyn id_plot_ppc id_plot_rhats id_plot_sims id_post_pred id_show_trues id_sim_coverage id_sim_gen id_sim_resid id_sim_rmse launch_shinystan stan_trace summary

Dependencies:abind arrayhelpers backports base64enc bayesplot BH bridgesampling brms Brobdingnag bslib cachem callr checkmate cli coda codetools commonmark cpp11 desc digest distributional dplyr farver fastmap fontawesome forcats fs future future.apply generics ggdist gghighlight ggplot2 ggrepel ggridges ggthemes globals glue gridExtra gtable htmltools httpuv inline insight isoband jquerylib jsonlite labeling later lattice lazyeval lifecycle listenv loo magrittr Matrix matrixStats memoise mgcv mime mvtnorm nleqslv nlme numDeriv ordbetareg otel parallelly pillar pkgbuild pkgconfig plyr posterior processx promises ps purrr quadprog QuickJSR R6 rappdirs RColorBrewer Rcpp RcppEigen RcppParallel reshape2 rlang rstan rstantools rstudioapi S7 sass scales shiny sourcetools StanHeaders stringi stringr svDialogs svGUI svUnit tensorA tibble tidybayes tidyr tidyselect utf8 vctrs viridisLite withr xtable

Introduction to idealstan

About idealstan | Installation Instructions | Simulation of Ordinal IRT with Missing Data

Rendered fromPackage_Introduction_Short.qmdusingquarto::html

Last update: 2026-04-30
Started: 2026-04-30

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Rollcall vote data for Delaware State Legislature	delaware
Helper Function for 'loo' calculation	derive_chain
Estimate an 'idealstan' model	id_estimate
Generic Method for Extracting Posterior Samples	id_extract
Extract 'stan' joint posterior distribution from 'idealstan' object	id_extract,idealstan-method
Create data to run IRT model	id_make
Calculate ideal point marginal effects	id_me
Calculate ideal point marginal effects	id_me,idealstan-method
Density plots of Posterior Parameters	id_plot_all_hist
Function to compare two fitted idealstan models by plotting ideal points. Assumes that underlying data is the same for both models.	id_plot_compare
Marginal Effects Plot for Hierarchical Covariates	id_plot_cov
Launch the Generalized Beta Distribution Explorer Shiny App	id_plot_gbeta_prior
Plot Item Discrimination or Difficulty Parameters	id_plot_items
Plot Legislator/Person Over-time Variances	id_plot_legis_var
Plot Legislator/Person and Bill/Item Ideal Points	id_plot_persons
Function to plot dynamic ideal point models	id_plot_persons_dyn
Plot Posterior Predictive Distribution for 'idealstan' Objects	id_plot_ppc
Plot Posterior Predictive Distribution for 'idealstan' Objects	id_plot_ppc,idealstan-method
Plotting Function to Display Rhat Distribution	id_plot_rhats
This function plots the results from a simulation generated by 'id_sim_gen()'.	id_plot_sims id_show_trues
Generic Method for Obtaining Posterior Predictive Distribution from Stan Objects	id_post_pred
Posterior Prediction for 'idealstan' objects	id_post_pred,idealstan-method
Function that computes how often the true value of the parameter is included within the 95/5 high posterior density interval	id_sim_coverage
Simulate IRT ideal point data	id_sim_gen
Residual function for checking estimated samples compared to true simulation scores Returns a data frame with residuals plus quantiles.	id_sim_resid
RMSE function for calculating individual RMSE values compared to true simulation scores Returns a data frame with RMSE plus quantiles.	id_sim_rmse
Data and Identification for 'id_estimate'	idealdata-class
Results of 'id_estimate' function	idealstan-class
Generic Method to Use 'shinystan' with 'idealstan'	launch_shinystan
Function to Launch Shinystan with an 'idealstan' Object	launch_shinystan,idealstan-method
Function that provides additional check questions for package release	release_questions
Rollcall vote data for 114th Senate	senate114
Plot the MCMC posterior draws by chain	stan_trace
Plot the MCMC posterior draws by chain	stan_trace,idealstan-method
Posterior Summaries for fitted 'idealstan' object	summary,idealstan-method