bsw-class

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-Sch<c3><b6>pe-Wagenpfeil
(BSW) Algorithm

bsw-class function

<dl class="dl-horizontal">
<dt><code>call</code></dt><dd>An object of class <code>"call"</code>.</dd></dl><dt><code>formula</code></dt><dd>An object of class <code>"formula"</code>.</dd><dt><code>coefficients</code></dt><dd>A numeric vector containing the estimated model parameters.</dd><dt><code>iter</code></dt><dd>A positive integer indicating the number of iterations.</dd><dt><code>converged</code></dt><dd>A logical constant that indicates whether the model has converged.</dd><dt><code>y</code></dt><dd>A numeric vector containing the dependent variable of the model.</dd><dt><code>x</code></dt><dd>The model matrix.</dd><dt><code>data</code></dt><dd>A data frame containing the variables in the model.</dd>

bsw-class: S4 Class `"bsw"`

Description

Arguments

Slots