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#' @export
model_parameters.lqmm <- function(model,
ci = 0.95,
bootstrap = FALSE,
iterations = 1000,
p_adjust = NULL,
verbose = TRUE,
...) {
# Processing
if (bootstrap) {
parameters <- bootstrap_parameters(
model,
iterations = iterations,
ci = ci,
...
)
} else {
parameters <- .extract_parameters_lqmm(
model,
ci = ci,
p_adjust = p_adjust,
verbose = verbose,
...
)
}
parameters <- .add_model_parameters_attributes(
parameters,
model,
ci,
exponentiate = FALSE,
p_adjust = p_adjust,
verbose = verbose,
...
)
attr(parameters, "object_name") <- insight::safe_deparse_symbol(substitute(model))
class(parameters) <- c("parameters_model", "see_parameters_model", class(parameters))
parameters
}
#' @export
model_parameters.lqm <- model_parameters.lqmm
#' @export
ci.lqmm <- function(x, ...) {
out <- model_parameters(x, ...)
as.data.frame(out[c("Parameter", "CI_low", "CI_high")])
}
#' @export
ci.lqm <- ci.lqmm
#' @export
standard_error.lqmm <- function(model, ...) {
out <- model_parameters(model, ...)
as.data.frame(out[c("Parameter", "SE")])
}
#' @export
standard_error.lqm <- standard_error.lqmm
#' @export
p_value.lqmm <- function(model, ...) {
out <- model_parameters(model, ...)
as.data.frame(out[c("Parameter", "p")])
}
#' @export
p_value.lqm <- p_value.lqmm
# helper ------------------
.extract_parameters_lqmm <- function(model, ci, p_adjust, verbose = TRUE, ...) {
cs <- summary(model)
parameters <- insight::get_parameters(model)
if (is.list(cs$tTable)) {
summary_table <- do.call(rbind, cs$tTable)
} else {
summary_table <- cs$tTable
}
# ==== Coefficient, SE and test statistic
parameters$Coefficient <- parameters$Estimate
parameters$SE <- summary_table[, 2]
parameters$t <- parameters$Estimate / parameters$SE
# ==== DF
parameters$df_error <- tryCatch(
{
if (!is.null(cs$rdf)) {
cs$rdf
} else {
attr(cs$B, "R") - 1
}
},
error = function(e) {
Inf
}
)
# ==== Conf Int
parameters$CI_low <- parameters$Coefficient - stats::qt((1 + ci) / 2, df = parameters$df_error) * parameters$SE
parameters$CI_high <- parameters$Coefficient + stats::qt((1 + ci) / 2, df = parameters$df_error) * parameters$SE
# ==== p-value
parameters$p <- summary_table[, 5]
if (!is.null(p_adjust)) {
parameters <- .p_adjust(parameters, p_adjust, model, verbose)
}
# ==== Reorder
col_order <- c("Parameter", "Coefficient", "SE", "CI_low", "CI_high", "t", "df_error", "p", "Component")
parameters[col_order[col_order %in% names(parameters)]]
}
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