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p-values for Models with Special Components

Source: R/methods_DirichletReg.R, R/methods_averaging.R, R/methods_betareg.R, and 2 more
p_value.DirichletRegModel.Rd

This function attempts to return, or compute, p-values of models with special model components.

Usage

# 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"), ...)

Arguments

model

A statistical model.

component

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

verbose

Toggle warnings and messages.

Value

The p-values.