summary-bsw-method: Summarizing the estimated model parameters of 'bsw()'

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

Description

For objects of class "bsw", summary() summarizes the estimated model parameters of bsw().

Usage

## S4 method for signature 'bsw'
summary(object)

Arguments

object

An object of class "bsw".

Value

A list containing the following elements:

coefficients	A numeric vector containing the estimated model parameters.
std.err	A numeric vector containing the estimated standard errors of the model parameters.
z.value	A numeric vector containing the estimated z test statistic of the model parameters.
p.value	A numeric vector containing the estimated p values of the model parameters.

Author(s)

Adam Bekhit, Jakob Schöpe

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