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# model parameters -------------------
#' @export
model_parameters.clm2 <- function(model,
ci = 0.95,
bootstrap = FALSE,
iterations = 1000,
component = "all",
standardize = NULL,
exponentiate = FALSE,
p_adjust = NULL,
include_info = getOption("parameters_info", FALSE),
keep = NULL,
drop = NULL,
verbose = TRUE,
...) {
component <- insight::validate_argument(component, c("all", "conditional", "scale"))
if (component == "all") {
merge_by <- c("Parameter", "Component")
} else {
merge_by <- "Parameter"
}
## TODO check merge by
out <- .model_parameters_generic(
model = model,
ci = ci,
component = component,
bootstrap = bootstrap,
iterations = iterations,
merge_by = c("Parameter", "Component"),
standardize = standardize,
exponentiate = exponentiate,
p_adjust = p_adjust,
keep_parameters = keep,
drop_parameters = drop,
include_info = include_info,
...
)
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
#' @export
model_parameters.clmm2 <- model_parameters.clm2
#' @export
model_parameters.clmm <- model_parameters.cpglmm
# CI ---------------------
## TODO residual df?
#' @export
ci.clm2 <- function(x, ci = 0.95, component = c("all", "conditional", "scale"), ...) {
component <- match.arg(component)
.ci_generic(model = x, ci = ci, dof = Inf, component = component)
}
#' @export
ci.clmm2 <- ci.clm2
# standard errors -----------------
#' @export
standard_error.clm2 <- function(model, component = "all", ...) {
component <- match.arg(component, choices = c("all", "conditional", "scale"))
stats <- .get_se_from_summary(model)
parms <- insight::get_parameters(model, component = component)
.data_frame(
Parameter = parms$Parameter,
SE = stats[parms$Parameter],
Component = parms$Component
)
}
#' @export
standard_error.clmm2 <- standard_error.clm2
# p values ----------------
#' @export
p_value.clm2 <- function(model, component = "all", ...) {
component <- insight::validate_argument(
component,
c("all", "conditional", "scale")
)
params <- insight::get_parameters(model)
cs <- stats::coef(summary(model))
p <- cs[, 4]
out <- .data_frame(
Parameter = params$Parameter,
Component = params$Component,
p = as.vector(p)
)
if (component != "all") {
out <- out[out$Component == component, ]
}
out
}
#' @export
p_value.clmm2 <- p_value.clm2
# simulate model -------------------
#' @export
simulate_model.clm2 <- function(model, iterations = 1000, component = "all", ...) {
component <- insight::validate_argument(
component,
c("all", "conditional", "scale")
)
out <- .simulate_model(model, iterations, component = component, ...)
class(out) <- c("parameters_simulate_model", class(out))
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
#' @export
simulate_model.clmm2 <- simulate_model.clm2
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