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' (<https://mc-stan.org/>).
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Description file content
- Package
- idealstan
- Type
- Package
- Title
- Generalized IRT Ideal Point Models with 'Stan'
- Version
- 0.7.1
- Date
- 2019-02-20
- 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' (
- 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
- Repository
- CRAN
- Date/Publication
- 2019-02-19 21:40:09 UTC
