Package: idealstan
Type: Package
Title: Generalized IRT Ideal Point Models with 'Stan'
Version: 0.7.1
Date: 2019-02-20
Authors@R: c(person("Robert","Kubinec", role = c("aut","cre"),
                     email = "rmk7@nyu.edu"),
              person("Jonah", "Gabry", role = "ctb"),
              person("Ben", "Goodrich", role = "ctb"),
              person("Trustees of Columbia University",role='cph'))
BugReports: https://github.com/saudiwin/idealstan/issues
Description: 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' (<https://mc-stan.org/>). 
License: GPL
Depends: methods, R (>= 3.4.0), Rcpp (>= 0.12.18)
Imports: rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr, tidyr,
        stringr, bayesplot, ggplot2, lazyeval, rlang, shinystan,
        gghighlight, forcats, ggrepel
Suggests: pscl, loo, lubridate, R.rsp
LinkingTo: StanHeaders (>= 2.18.0), rstan (>= 2.18.2), BH (>= 1.66),
        Rcpp (>= 0.12.7), RcppEigen (>= 0.3.3.3.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
VignetteBuilder: R.rsp
RoxygenNote: 6.1.1
Packaged: 2019-02-19 18:31:34 UTC; rkubinec
Author: Robert Kubinec [aut, cre],
  Jonah Gabry [ctb],
  Ben Goodrich [ctb],
  Trustees of Columbia University [cph]
Maintainer: Robert Kubinec <rmk7@nyu.edu>
Repository: CRAN
Date/Publication: 2019-02-19 21:40:09 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 22:55:58 UTC; windows
Archs: i386, x64
