#' Refitting Generalized Linear Models
#'
#' @description `r lifecycle::badge('experimental')`
#' `refit_glm()` is used to refit generalized linear models, and must be
#' preceded by `restrict_coef()`.
#'
#' @param x Object of class restricted or of class smooth
#'
#' @author Martin Haringa
#'
#' @importFrom stats glm
#' @importFrom utils modifyList
#'
#' @return Object of class GLM
#'
#' @export
refit_glm <- function(x){
.Deprecated("update_glm")
if( !inherits(x, c("restricted", "smooth")) ) {
stop("Input must be of class restricted or of class smooth", call. = FALSE)
}
lst_call <- as.list(x$model_call)
lst <- list(formula = x$formula_restricted, data = x$data_restricted,
offset = NULL)
y <- eval(as.call(modifyList(lst_call, lst)))
y$call$formula <- lst$formula
y$call$data <- quote(df_new)
if ( inherits(x, "smooth")) {
attr(y, "new_rf") <- x[["new_rf"]]
attr(y, "class") <- append(class(y), "refitsmooth")
}
if ( inherits(x, "restricted")) {
attr(y, "new_rf_rst") <- x[["rf_restricted_df"]]
attr(y, "class") <- append(class(y), "refitrestricted")
}
y
}
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