waldchisq_test: Wald-type chi-squared test statistic (model-based or robust)

In corncob: Count Regression for Correlated Observations with the Beta-Binomial

Wald-type chi-squared test statistic (model-based or robust)

Description

This is a helper function and not intended for users

Usage

waldchisq_test(
  mod,
  restrictions = NULL,
  restrictions.phi = NULL,
  contrasts_DA = NULL,
  contrasts_DV = NULL,
  robust = FALSE
)

Arguments

mod	an object of class bbdml
restrictions	Optional. Defaults to NULL. Numeric vector indicating the parameters associated with the abundance to test, or character vector with name of variable to test. Note that 1 is the intercept associated with the abundance.
restrictions.phi	Optional. Defaults to NULL. Numeric vector indicating the parameters associated with the dispersion to test, or character vector with name of variable to test. Note that 1 is the intercept associated with the dispersion.
contrasts_DA	List. Optional. Constructs a contrast matrix. List elements should be characters specifying contrasts in the parameters within formula. Note that this is only available with "Wald" value for test.
contrasts_DV	List. Optional. Constructs a contrast matrix. List elements should be characters specifying contrasts in the parameters within phi.formula. Note that this is only available with "Wald" value for test.
robust	Should robust standard errors be used? If not, model-based standard arras are used. Logical, defaults to FALSE.

Value

Test statistic for Wald test.

corncob documentation built on May 29, 2024, 7:15 a.m.