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## tidymodels (.model_fit)
# model parameters ---------------------
#' @export
model_parameters.model_fit <- function(model,
ci = 0.95,
effects = "fixed",
component = "conditional",
ci_method = "profile",
bootstrap = FALSE,
iterations = 1000,
standardize = NULL,
exponentiate = FALSE,
p_adjust = NULL,
verbose = TRUE,
...) {
model_parameters(
model$fit,
ci = ci,
effects = effects,
component = component,
ci_method = ci_method,
bootstrap = bootstrap,
iterations = iterations,
standardize = standardize,
exponentiate = exponentiate,
p_adjust = p_adjust,
verbose = verbose,
...
)
}
# ci ------------------
#' @export
ci.model_fit <- function(x, ci = 0.95, method = NULL, ...) {
ci(x$fit, ci = ci, method = method, ...)
}
# standard error ------------------
#' @export
standard_error.model_fit <- function(model, ...) {
standard_error(model$fit, ...)
}
# p values ------------------
#' @export
p_value.model_fit <- function(model, ...) {
p_value(model$fit, ...)
}
# simulate model ------------------
#' @export
simulate_model.model_fit <- function(model, iterations = 1000, ...) {
simulate_model(model$fit, iterations = iterations, ...)
}
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