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

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

Estimating confidence intervals of the estimated model parameters of bsw()

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 Nov. 5, 2025, 6:26 p.m.