#'
#' #' Gaussian Fit Parameters for Posterior Distributions
#' #'
#' #' Results of Gaussian fits (mean and standard deviation) for each of the ten HHS regions using each of the five models
#' #' supported by \code{dice}. We only fit the basic reproduction number \eqn{R_0} and the percent clinical \eqn{pC}.
#' #' In both cases we do a Gaussian fit to the posterior distribution.
#' #' This is done for each season, for each region and for each model.
#' #' These are needed if the MCMC procedure is done using a prior.
#' #' The mean and standard deviation are packed into a named list with two elements:
#'
#' #' \describe{
#' #' \item{mean}{The mean value}
#' #' \item{sigma}{The standard deviation}
#' #' }
#' #' In each case there are 550 rows and 5 columns and each entry in the fourth and fifth column defines the \emph{mean} or \emph{sigma} for \eqn{R0} and \eqn{pC} given a specific
#' #' set of:
#' #' \describe{
#' #' \item{Region}{Starting year for the prior flu season}
#' #' \item{year.start}{Starting year for the prior flu season}
#' #' \item{model}{model number 1-5}
#' #' }
#'
#' "postFit"
"corTable"
#' Pearson Correlation Table for \% ILI - New version
#'
#' A numeric correlation table with 132 rows and 6 columns showing for each season and each HHS region the season that has the highest correlation with it.
#' This season is referred to as the 'prior season'
#' Correlation is also shown for the national data- which is denoted as region 11.
#' \describe{
#' \item{Region}{Region name, RegionX and national - United.States}
#' \item{start}{Starting year for the flu season}
#' \item{end}{Ending year for the flu season}
#' \item{R0-mean}{Mean value for R0}
#' \item{R0-SD}{Standard deviation for R0}
#' \item{pC-mean}{Mean value for percent clinical, pC}
#' \item{pC-SD}{Standard deviation for percent clinical, pC}
#' \item{SH-mean}{Mean value for SH term}
#' \item{SH-SD}{Standard deviation for SH term}
#' \item{SV-mean}{Mean value for SV term}
#' \item{SV-SD}{Standard deviation for SV term}
#' \item{Cor}{The Pearson correlation between the two seasons}
#' ...
#' }
"priorTable"
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