vcov.CountsEPPM: Variance/Covariance Matrix for Coefficients

In CountsEPPM: Mean and Variance Modeling of Count Data

Variance/Covariance Matrix for Coefficients

Description

Variance/covariance matrix for coefficients of fitted model.

Usage

## S3 method for class 'CountsEPPM'
vcov(object, model = c("full", "mean", "scale.factor"), ...)

Arguments

object	fitted model object of class "CountsEPPM"
model	character indicating variance/covariance matrix for all coefficients to be output: all coefficients ("full"), variance/covariance matrix for coefficients of probability of success ("mean"), variance/covariance matrix for coefficients of scale-factor ("scale.factor")
...	other parameters to be passed through to function

Value

The variance/covariance matrix of the parameters of the fitted model object.

Author(s)

David M. Smith <[e-mail]>

References

Cribari-Neto F, Zeileis A. (2010). Beta Regression in R. Journal of Statistical Software, 34(2), 1-24. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v034.i02")}.

See Also

betareg

Examples

data("herons.group") 
output.fn  <- CountsEPPM(number.attempts ~ 0 + group,
 herons.group, model.type = 'mean only', model.name = 'Poisson')
vcov(output.fn)

CountsEPPM documentation built on May 29, 2024, 11:54 a.m.