confint.LORgee: Confidence Intervals for Model Parameters

In multgee: GEE Solver for Correlated Nominal or Ordinal Multinomial Responses

Confidence Intervals for Model Parameters

Description

Computes confidence intervals for one or more parameters in a fitted LORgee model.

Usage

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

Arguments

object	a fitted model LORgee object.
parm	a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
level	the confidence level required.
method	character indicating whether the sandwich (robust) covariance matrix (method = "robust") or the model–based (naive) covariance matrix (method = "naive") should be used for calculating the confidence intervals.
...	additional argument(s) for methods.

Details

The (Wald-type) confidence intervals are calculated using either the sandwich (robust) or the model-based (naive) covariance matrix.

Value

A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labelled as (1-level)/2 and 1 - (1-level)/2 in % (by default 2.5% and 97.5%).

Examples

fitmod <- ordLORgee(formula = y ~ factor(time) + factor(trt) + factor(baseline),
  data = arthritis, id = id, LORstr = "uniform", repeated = time)
confint(fitmod)

multgee documentation built on Sept. 2, 2023, 9:06 a.m.