Nothing
# model parameters -------------------
#' @rdname model_parameters.mlm
#' @export
model_parameters.clm2 <- function(model,
ci = 0.95,
bootstrap = FALSE,
iterations = 1000,
component = c("all", "conditional", "scale"),
standardize = NULL,
exponentiate = FALSE,
p_adjust = NULL,
summary = getOption("parameters_summary", FALSE),
keep = NULL,
drop = NULL,
verbose = TRUE,
...) {
component <- match.arg(component)
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,
summary = summary,
...
)
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
#' @rdname model_parameters.merMod
#' @export
model_parameters.clmm2 <- model_parameters.clm2
#' @rdname model_parameters.merMod
#' @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$Component
)
}
#' @export
standard_error.clmm2 <- standard_error.clm2
# p values ----------------
#' @rdname p_value.DirichletRegModel
#' @export
p_value.clm2 <- function(model, component = c("all", "conditional", "scale"), ...) {
component <- match.arg(component)
params <- insight::get_parameters(model)
cs <- stats::coef(summary(model))
p <- cs[, 4]
out <- .data_frame(
Parameter = params$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 = c("all", "conditional", "scale"),
...) {
component <- match.arg(component)
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
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.