summary,bsw-method

For objects of class <code>"bsw"</code>, <code><a href="/link/summary()?package=BSW&version=0.1.2" data-mini-rdoc="BSW::summary()">summary()</a></code> summarizes the estimated model parameters of <code>bsw()</code>.

Implements a modified Newton-type algorithm (BSW algorithm) for solving the maximum likelihood estimation problem in fitting a log-binomial model under linear inequality constraints.

Adam Bekhit

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

Jakob Schöpe

Thomas Wolf

Julius Johannes Weise

Stefan Wagenpfeil

summary,bsw-method function

<dl><dt>object</dt>
<dd>An object of class <code>"bsw"</code>.</dd></dl>

Arguments

Author

For objects of class <code>"bsw"</code>, <code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code> summarizes the estimated model parameters of <code>bsw()</code>.

Summarizing the estimated model parameters of bsw() — summary,bsw-method

<dl>

<dt>object</dt>
<dd>An object of class <code>"bsw"</code>.</dd>

</dl>

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

Description

Usage

Value

Arguments

Author