confint.mcglm: Confidence Intervals for Model Parameters

In mcglm: Multivariate Covariance Generalized Linear Models

Confidence Intervals for Model Parameters

Description

Computes Wald-type confidence intervals for parameter estimates from a fitted mcglm model, based on asymptotic normality.

Usage

## S3 method for class 'mcglm'
confint(object, parm, level = 0.95, ...)

Arguments

object	A fitted object of class mcglm.
parm	Optional specification of parameters for which confidence intervals are required. Can be a numeric vector of indices or a character vector of parameter names. If omitted, confidence intervals for all parameters are returned.
level	Numeric value giving the confidence level. Must be between 0 and 1. Default is 0.95.
...	Additional arguments. Currently ignored and included for compatibility with the generic confint function.

Value

A numeric matrix with two columns corresponding to the lower and upper confidence limits. Rows correspond to model parameters.

Author(s)

Wagner Hugo Bonat, [e-mail]

mcglm documentation built on Jan. 9, 2026, 1:07 a.m.