ngrps.mixed

<p>an <code>R</code> object, see Details.</p>

object

<p>Returns the levels for each grouping factor in the fitted object</p>

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.

James Scott

epidemia

Modeling of Epidemics using Hierarchical Bayesian Models

Axel Gandy

Swapnil Mishra

Juliette Unwin

Seth Flaxman

Samir Bhatt

Jonathan Ish-Horowicz

Leon Wu

Ben Goodrich

Jonah Gabry

Trustees of Columbia University

Paul-Christian Burkner

Triad Sou

Kengo Nagashima

ngrps.mixed function

Returns the levels for each grouping factor in the fitted object — ngrps.mixed

Returns the levels for each grouping factor in the fitted object

ngrps.mixed: Returns the levels for each grouping factor in the fitted object

Description

Usage

Arguments

Value