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#' @title Find model parameters from estimated marginal means objects
#' @name find_parameters.emmGrid
#'
#' @description Returns the parameter names from a model.
#'
#' @inheritParams find_parameters
#' @inheritParams find_predictors
#' @inheritParams get_parameters.BGGM
#' @inheritParams get_parameters.emmGrid
#'
#' @return A list of parameter names. For simple models, only one list-element,
#' `conditional`, is returned.
#'
#' @examplesIf require("emmeans", quietly = TRUE)
#' data(mtcars)
#' model <- lm(mpg ~ wt * factor(cyl), data = mtcars)
#' emm <- emmeans(model, c("wt", "cyl"))
#' find_parameters(emm)
#' @export
find_parameters.emmGrid <- function(x, flatten = FALSE, merge_parameters = FALSE, ...) {
out <- params <- get_parameters(x, summary = TRUE, merge_parameters = merge_parameters)
if ("Component" %in% colnames(params)) {
params$Component <- factor(params$Component, levels = unique(params$Component))
}
if (.is_baysian_emmeans(x)) {
col_names <- colnames(get_parameters(x, summary = FALSE, merge_parameters = merge_parameters))
if ("Component" %in% colnames(params)) {
params$Parameter <- col_names
out <- lapply(split(params, params$Component), function(i) i[[1]])
} else {
out <- stats::setNames(list(col_names), unique(.classify_emmeans(x)))
}
} else if ("Component" %in% colnames(params)) {
out <- lapply(split(params, params$Component), function(i) i[[1]])
} else {
out <- stats::setNames(list(params[[1]]), unique(.classify_emmeans(x)))
}
if (flatten) {
unique(unlist(out, use.names = FALSE))
} else {
out
}
}
#' @export
find_parameters.emm_list <- find_parameters.emmGrid
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