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>.
Package details |
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Maintainer | James Dunham <james@jdunham.io> |
License | GPL-3 |
Version | 0.2.15 |
URL | https://jdunham.io/dgo/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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