idealstan: Generalized IRT Ideal Point Models with 'Stan'

Offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).

Version: 0.5.0
Depends: methods, R (≥ 3.4.0), Rcpp (≥ 0.12.18)
Imports: rstan (≥ 2.18.1), rstantools (≥ 1.5.1), dplyr, tidyr, stringr, bayesplot, ggplot2, lazyeval, rlang, shinystan, gghighlight, forcats, ggrepel
LinkingTo: StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66), Rcpp (≥ 0.12.7), RcppEigen (≥ 0.3.2.9.0)
Suggests: pscl, loo, lubridate, R.rsp
Published: 2018-10-31
Author: Robert Kubinec [aut, cre], Jonah Gabry [ctb], Ben Goodrich [ctb], Trustees of Columbia University [cph]
Maintainer: Robert Kubinec <rmk7 at nyu.edu>
BugReports: https://github.com/saudiwin/idealstan/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: idealstan citation info
Materials: README NEWS
In views: MissingData
CRAN checks: idealstan results

Downloads:

Reference manual: idealstan.pdf
Vignettes: How to Evaluate Models
Introduction to Idealstan
Time-Varying Ideal Points
Package source: idealstan_0.5.0.tar.gz
Windows binaries: r-devel: idealstan_0.5.0.zip, r-release: idealstan_0.5.0.zip, r-oldrel: idealstan_0.5.0.zip
OS X binaries: r-release: idealstan_0.5.0.tgz, r-oldrel: idealstan_0.5.0.tgz
Old sources: idealstan archive

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