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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>.
Getting started
Browse package contents
Package details |
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| Author | James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut] |
| Maintainer | James Dunham <james@jdunham.io> |
| License | GPL-3 |
| Version | 0.2.15 |
| URL | https://jdunham.io/dgo/ |
| Package repository | View on CRAN |
| Installation |
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