vcov.BinaryEPPM: Variance/Covariance Matrix for Coefficients

In BinaryEPPM: Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data

Variance/Covariance Matrix for Coefficients

Description

Variance/covariance matrix for coefficients of fitted model.

Usage

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

Arguments

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

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("ropespores.case") 
output.fn <- BinaryEPPM(data = ropespores.case,
                  number.spores / number.tested ~ 1 + offset(logdilution),
                  model.type = 'p only', model.name = 'binomial')   
vcov(output.fn)

BinaryEPPM documentation built on June 22, 2024, 10:30 a.m.