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#' @title Compute intercept-only model for regression models
#' @name null_model
#'
#' @description This function computes the null-model (i.e. `(y ~ 1)`) of
#' a model. For mixed models, the null-model takes random effects into account.
#'
#' @param model A (mixed effects) model.
#' @param verbose Toggle off warnings.
#' @param ... Arguments passed to or from other methods.
#'
#' @return The null-model of `x`
#'
#' @examplesIf require("lme4", quietly = TRUE)
#' data(sleepstudy)
#' m <- lmer(Reaction ~ Days + (1 + Days | Subject), data = sleepstudy)
#' summary(m)
#' summary(null_model(m))
#'
#' @export
null_model <- function(model, verbose = TRUE, ...) {
offset_term <- tryCatch(
{
f <- safe_deparse(find_formula(model)$conditional)
if (grepl("offset(", f, fixed = TRUE)) {
out <- gsub("(.*)offset\\((.*)\\)(.*)", "\\2", f)
} else {
out <- NULL
}
out
},
error = function(e) {
NULL
}
)
if (is_mixed_model(model)) {
.null_model_mixed(model, offset_term, verbose)
} else if (inherits(model, "clm2")) {
stats::update(model, location = ~1, scale = ~1)
} else if (inherits(model, "multinom")) {
stats::update(model, ~1, trace = FALSE)
} else {
if (!is.null(offset_term)) {
tryCatch(
{
do.call(stats::update, list(model, ~1, offset = str2lang(offset_term)))
},
error = function(e) {
if (verbose) {
format_warning(
"Model contains offset-terms, which could not be considered in the returned null-model.",
"Coefficients might be inaccurate."
)
}
stats::update(model, ~1)
}
)
} else {
# stats::update(model, ~1)
out <- stats::update(model, ~1, evaluate = FALSE)
eval(out, envir = parent.frame())
}
}
}
.null_model_mixed <- function(model, offset_term = NULL, verbose = TRUE) {
if (inherits(model, "MixMod")) {
nullform <- stats::as.formula(paste(find_response(model), "~ 1"))
null.model <- stats::update(model, fixed = nullform)
} else if (inherits(model, "cpglmm")) {
nullform <- find_formula(model, verbose = FALSE)[["random"]]
null.model <- stats::update(model, nullform)
} else {
f <- stats::formula(model)
resp <- find_response(model)
re.terms <- paste0("(", sapply(.findbars(f), safe_deparse), ")")
nullform <- stats::reformulate(re.terms, response = resp)
null.model <- tryCatch(
{
if (!is.null(offset_term)) {
do.call(stats::update, list(model, formula = nullform, offset = str2lang(offset_term)))
} else {
stats::update(model, nullform)
}
},
error = function(e) {
msg <- e$message
if (verbose) {
if (grepl("(^object)(.*)(not found$)", msg)) {
print_color("Can't calculate null-model. Probably the data that was used to fit the model cannot be found.\n", "red")
} else if (startsWith(msg, "could not find function")) {
print_color("Can't calculate null-model. Probably you need to load the package that was used to fit the model.\n", "red")
}
}
return(NULL)
}
)
}
null.model
}
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