reexports

ngrps

posterior_predict

prior_summary

normal

student_t

cauchy

hs_plus

laplace

lasso

product_normal

exponential

decov

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>lme4</dt><dd><code><a rd-options="lme4" href="/link/ngrps?package=epidemia&version=1.0.0&to=lme4" data-mini-rdoc="lme4::ngrps">ngrps</a></code></dd><dt>rstanarm</dt><dd><code><a rd-options="rstanarm:priors" href="/link/cauchy?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::cauchy">cauchy</a></code>, <code><a rd-options="rstanarm:priors" href="/link/decov?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::decov">decov</a></code>, <code><a rd-options="rstanarm:priors" href="/link/exponential?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::exponential">exponential</a></code>, <code><a rd-options="rstanarm:priors" href="/link/hs?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::hs">hs</a></code>, <code><a rd-options="rstanarm:priors" href="/link/hs_plus?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::hs_plus">hs_plus</a></code>, <code><a rd-options="rstanarm:priors" href="/link/laplace?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::laplace">laplace</a></code>, <code><a rd-options="rstanarm:priors" href="/link/lasso?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::lasso">lasso</a></code>, <code><a rd-options="rstanarm:priors" href="/link/lkj?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::lkj">lkj</a></code>, <code><a rd-options="rstanarm:priors" href="/link/normal?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::normal">normal</a></code>, <code><a rd-options="rstanarm:priors" href="/link/product_normal?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::product_normal">product_normal</a></code>, <code><a rd-options="rstanarm:priors" href="/link/student_t?package=epidemia&version=1.0.0&to=rstanarm%3Apriors" data-mini-rdoc="rstanarm:priors::student_t">student_t</a></code></dd><dt>rstantools</dt><dd><code><a rd-options="rstantools" href="/link/posterior_predict?package=epidemia&version=1.0.0&to=rstantools" data-mini-rdoc="rstantools::posterior_predict">posterior_predict</a></code>, <code><a rd-options="rstantools" href="/link/prior_summary?package=epidemia&version=1.0.0&to=rstantools" data-mini-rdoc="rstantools::prior_summary">prior_summary</a></code></dd>
</dl>

internal

Flexibly specify and fit Bayesian statistical models for epidemics. 'epidemia' leverages Rs formula interface so
that users can parameterize reproduction numbers and ascertainment rates in terms of predictors. Infections are propagated over
time using self-exciting point processes. Multiple regions can be modeled simultaneously with multilevel models. The models and framework behind
the package are described in Bhatt et al. (2021) <arXiv:2012.00394>. The design of the package has been inspired by, and has borrowed from,
'rstanarm' (Goodrich et al., 2020) <https://mc-stan.org/rstanarm/>. 'rstan' (Stan Development Team, 2020) <https://mc-stan.org/> is used as
the back end for fitting models.

reexports: Objects exported from other packages

Description

Arguments