Offers item-response theory (IRT) ideal-point scaling/dimension reduction methods that incorporate additional response categories and missing/censored values, including absences and abstentions, for roll call voting data (or any other kind of binary or ordinal item-response theory data). Full and approximate Bayesian inference is done via the 'Stan' engine (www.mc-stan.org).
| Version: | 0.2.7 |
| Depends: | R (≥ 3.1), Rcpp (≥ 0.12.7) |
| Imports: | rstan (≥ 2.13.2), rstantools (≥ 1.1.0), methods (≥ 3.3.1), dplyr, tidyr, stringr, bayesplot, ggplot2, lazyeval, rlang, shinystan |
| LinkingTo: | StanHeaders (≥ 2.13.1), rstan (≥ 2.13.2), BH (≥ 1.62.0.1), Rcpp (≥ 0.12.7), RcppEigen (≥ 0.3.2.9.0) |
| Suggests: | pscl, loo, knitr, rmarkdown |
| Published: | 2018-02-09 |
| Author: | Robert Kubinec [aut, cre], Jonah Gabry [ctb], Ben Goodrich [ctb], Trustees of Columbia University [cph] |
| Maintainer: | Robert Kubinec <rmk7xy at virginia.edu> |
| BugReports: | https://github.com/saudiwin/idealstan/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| CRAN checks: | idealstan results |
| Reference manual: | idealstan.pdf |
| Vignettes: |
How to Evaluate Models Introduction to Idealstan |
| Package source: | idealstan_0.2.7.tar.gz |
| Windows binaries: | r-devel: idealstan_0.2.7.zip, r-release: idealstan_0.2.7.zip, r-oldrel: idealstan_0.2.7.zip |
| OS X El Capitan binaries: | r-release: idealstan_0.2.7.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
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