#' Flexible Epidemic Modeling with epidemia
#'
#' @description The \pkg{epidemia} package allows researchers to flexibly
#' specify and fit Bayesian epidemiological models in the style of
#' \insertCite{Flaxman2020;textual}{epidemia}. The
#' package leverages R's formula interface to parameterize the reproduction rate
#' in terms of covariates, and allows pooling of parameters.
#' The design of the package has been inspired by, and borrowed from, the \pkg{rstanarm}
#' package \insertCite{goodrich_2020}{epidemia}.
#' \pkg{epidemia} uses \pkg{rstan} \insertCite{rstan_2020}{epidemia} as the backend for fitting the models.
#' The primary model fitting function in \pkg{epidemia} is \code{\link[epidemia]{epim}}.
#'
#' @docType package
#' @name epidemia-package
#' @aliases epidemia
#' @useDynLib epidemia, .registration = TRUE
#' @import methods
#' @import Rcpp
#' @import stats
#' @import rstantools
#' @importFrom lme4 ngrps
#' @importFrom rstan sampling
#' @importFrom rstan vb
#' @importFrom Rdpack reprompt
#' @importFrom utils tail
#' @importFrom magrittr %>%
#' @importFrom rlang .data
#' @references
#' \insertAllCited()
#'
NULL
#' @export
lme4::ngrps
#' @export
rstantools::posterior_predict
#' @export
rstantools::prior_summary
#' @importFrom rstanarm normal
#' @export
rstanarm::normal
#' @importFrom rstanarm student_t
#' @export
rstanarm::student_t
#' @importFrom rstanarm cauchy
#' @export
rstanarm::cauchy
#' @importFrom rstanarm hs
#' @export
rstanarm::hs
#' @importFrom rstanarm hs_plus
#' @export
rstanarm::hs_plus
#' @importFrom rstanarm laplace
#' @export
rstanarm::laplace
#' @importFrom rstanarm lasso
#' @export
rstanarm::lasso
#' @importFrom rstanarm product_normal
#' @export
rstanarm::product_normal
#' @importFrom rstanarm exponential
#' @export
rstanarm::exponential
#' @importFrom rstanarm decov
#' @export
rstanarm::decov
#' @importFrom rstanarm lkj
#' @export
rstanarm::lkj
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