confint-rateReg-method: Confidence Intervals for Covariate Coefficients

In reda: Recurrent Event Data Analysis

Confidence Intervals for Covariate Coefficients

Description

confint,rateReg-method is an S4 class method for rateReg object, which returns approximate confidence intervals for all or specified covariates.

Usage

## S4 method for signature 'rateReg'
confint(object, parm, level = 0.95, ...)

Arguments

object	A rateReg 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	An optional numeric value to specify the confidence level required. By default, the value is 0.95, which produces 95% confidence intervals.
...	Other arguments for future usage.

Details

Under regularity condition (Shao 2003, Theorem 4.16 and Theorem 4.17, page 287, 290), the approximate confidence intervals are constructed loosely based on Fisher information matrix and estimates of coefficients.

Value

A numeric matrix with row names and column names.

References

Shao, J. (2003), Mathematical statistics, Springer texts in statistics, New York: Springer, 2nd Edition.

See Also

rateReg for model fitting; coef,rateReg-method for point estimates of covariate coefficients; summary,rateReg-method for summary of a fitted model.

Examples

## See examples given in function rateReg.

reda documentation built on July 9, 2022, 1:06 a.m.