#' Accessor functions for StatModel class
#'
#' @description Accessor functions for StatModel class
#' \describe{
#' \item{getModel(object)}{to get model}
#' \item{getDF(object)}{to get the residual degrees of freedom
#' of the model}
#' \item{getDfPosterior(object)}{to get the degrees of freedom of
#' the empirical Bayes variance estimator}
#' \item{getDispersion(object)}{to get the dispersion estimate of
#' the model}
#' \item{getCoef(object)}{to get the parameter estimates of the mean
#' model}
#' }
#' @aliases statModelAccessors getModel getDF getDfPosterior getDispersion
#' getCoef
#' @rdname statModelAccessors
#'
#' @param object StatModel object
#'
#' @examples
#' ## A fully specified dummy model
#' myModel <- StatModel(
#' type = "glm",
#' params = list(x = 3, y = 7, b = 4),
#' varPosterior = c(0.1, 0.2, 0.3),
#' dfPosterior = c(6, 7, 8)
#' )
#' getModel(myModel)
#' @return The requested parameter of the StatModel object
setMethod("getModel",
signature = "StatModel",
definition = function(object) object@params
)
#' @rdname statModelAccessors
#' @param object StatModel object
setMethod("getDF",
signature = "StatModel",
definition = function(object) object@params$df.residual
)
#' @rdname statModelAccessors
#' @param object StatModel object
setMethod("getDfPosterior",
signature = "StatModel",
definition = function(object) object@dfPosterior
)
#' @rdname statModelAccessors
#' @param object StatModel object
setMethod("getDispersion",
signature = "StatModel",
definition = function(object) object@params$dispersion
)
#' @rdname statModelAccessors
#' @param object StatModel object
setMethod("getCoef",
signature = "StatModel",
definition = function(object) object@params$coefficients
)
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