confint-bsw-method: Estimating confidence intervals of the estimated model...

In BSW: Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil (BSW) Algorithm

Description

For objects of class "bsw", confint() estimates confidence intervals of the estimated model parameters of bsw().

Usage

## S4 method for signature 'bsw'
confint(object, parm, level = 0.95, method = "wald", R = 1000L)

Arguments

object	An object of class "bsw".
parm	A specification of which model parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all model parameters are considered.
level	A numeric value that indicates the level of confidence.
method	A character giving the estimation method of the confidence intervals ("bca" or "wald").
R	A positive integer giving the number of bootstrap replicates.

Details

confint provides Wald (default) and bias-corrected accelerated bootstrap confidence intervals of the estimated model parameters of bsw().

Value

A matrix with columns giving the lower and upper confidence limits of each estimated model parameter.

Author(s)

Adam Bekhit, Jakob Schöpe

BSW documentation built on March 22, 2021, 5:07 p.m.