dgo: Dynamic Estimation of Group-Level Opinion

Fit dynamic group-level item response theory (IRT) and multilevel regression and poststratification (MRP) models from item response data. dgo models latent traits at the level of demographic and geographic groups, rather than individuals, in a Bayesian group-level IRT approach developed by Caughey and Warshaw (2015) <doi:10.1093/pan/mpu021>. The package also estimates subpopulations' average responses to single survey items with a dynamic MRP model proposed by Park, Gelman, and Bafumi (2004) <doi:10.11126/stanford/9780804753005.003.0011>.

Version: 0.2.14
Depends: dgodata, R (≥ 3.2.2), rstan (≥ 2.15.1)
Imports: assertthat, data.table, ggplot2, lubridate, methods, R6, survey
Suggests: knitr, rmarkdown, testthat
Published: 2017-12-22
Author: James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut]
Maintainer: James Dunham <james at jdunham.io>
BugReports: https://github.com/jamesdunham/dgo/issues
License: GPL-3
URL: https://jdunham.io/dgo/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dgo results


Reference manual: dgo.pdf
Package source: dgo_0.2.14.tar.gz
Windows binaries: r-devel: dgo_0.2.14.zip, r-release: dgo_0.2.14.zip, r-oldrel: dgo_0.2.14.zip
OS X binaries: r-release: dgo_0.2.14.tgz, r-oldrel: dgo_0.2.14.tgz
Old sources: dgo archive


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