dgmrp_fit-class

dgmrp_fit

<code><a rd-options="" href="/link/dgmrp?package=dgo&version=0.2.15" data-mini-rdoc="dgo::dgmrp">dgmrp</a></code> returns a fitted model object of class <code>dgmrp_fit</code>,
which inherits from <code><a rd-options="" href="/link/dgo_fit?package=dgo&version=0.2.15" data-mini-rdoc="dgo::dgo_fit">dgo_fit</a></code>.

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>.

James Dunham

Dynamic Estimation of Group-Level Opinion

Devin Caughey

Christopher Warshaw

dgmrp_fit-class function

<dl class="dl-horizontal">
<dt><code>dgirt_in</code></dt><dd><code><a rd-options="" href="/link/dgirtin-class?package=dgo&version=0.2.15" data-mini-rdoc="dgo::dgirtin-class">dgirtin-class</a></code> data used to fit the model.</dd>
</dl>

Slots

<code><a rd-options='' href='dgmrp'>dgmrp</a></code> returns a fitted model object of class <code>dgmrp_fit</code>,
which inherits from <code><a rd-options='' href='dgo_fit'>dgo_fit</a></code>.

dgmrp_fit-class: A class for fitted dynamic group MRP models

Description

Arguments

Slots

See Also