This function attempts to return, or compute, p-values of models with special model components.
# S3 method for DirichletRegModel
p_value(model, component = c("all", "conditional", "precision"), ...)# S3 method for averaging
p_value(model, component = c("conditional", "full"), ...)
# S3 method for betareg
p_value(
model,
component = c("all", "conditional", "precision"),
verbose = TRUE,
...
)
# S3 method for cgam
p_value(model, component = c("all", "conditional", "smooth_terms"), ...)
# S3 method for clm2
p_value(model, component = c("all", "conditional", "scale"), ...)
The p-values.
A statistical model.
Should all parameters, parameters for the conditional model,
precision- or scale-component or smooth_terms be returned? component
may be one of "conditional"
, "precision"
, "scale"
,
"smooth_terms"
, "full"
or "all"
(default).
Additional arguments
Toggle warnings and messages.