vcov.bbreg: vcov.bbreg

In bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data

vcov.bbreg

Description

Function to extract the variance-covariance matrix of the parameters of the fitted regression model (bessel or beta).

Usage

## S3 method for class 'bbreg'
vcov(object, parameters = c("all", "mean", "precision"), ...)

Arguments

object	an object of class "bbreg" containing results from the fitted model.
parameters	a string to determine which coefficients should be extracted: 'all' extracts all coefficients, 'mean' extracts the coefficients of the mean parameters and 'precision' extracts coefficients of the precision parameters.
...	further arguments passed to or from other methods.

See Also

infmat_bes, infmat_bet

Examples

fit = bbreg(agreement ~ priming + eliciting|priming, data = WT)
vcov(fit)
vcov(fit, parameters = "precision")

bbreg documentation built on March 18, 2022, 6:21 p.m.