confint,bsw-method

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

object

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.

parm

A numeric value that indicates the level of confidence.

level

A character giving the estimation method of the confidence intervals (<code>"bca"</code> or <code>"wald"</code>).

method

A positive integer giving the number of bootstrap replicates.

For objects of class <code>"bsw"</code>, <code><a href="/link/confint()?package=BSW&version=0.1.1" data-mini-rdoc="BSW::confint()">confint()</a></code> estimates confidence intervals of 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

confint,bsw-method function

<dl><dt>object</dt>
<dd>An object of class <code>"bsw"</code>.</dd>
<dt>parm</dt>
<dd>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.</dd>
<dt>level</dt>
<dd>A numeric value that indicates the level of confidence.</dd>
<dt>method</dt>
<dd>A character giving the estimation method of the confidence intervals (<code>"bca"</code> or <code>"wald"</code>).</dd>
<dt>R</dt>
<dd>A positive integer giving the number of bootstrap replicates.</dd></dl>

Arguments

Author

For objects of class <code>"bsw"</code>, <code><a href='https://rdrr.io/r/stats/confint.html'>confint()</a></code> estimates confidence intervals of the estimated model parameters of <code>bsw()</code>.

Estimating confidence intervals of the estimated model parameters of bsw() — confint,bsw-method

<dl>

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


<dt>parm</dt>
<dd>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.</dd>


<dt>level</dt>
<dd>A numeric value that indicates the level of confidence.</dd>


<dt>method</dt>
<dd>A character giving the estimation method of the confidence intervals (<code>"bca"</code> or <code>"wald"</code>).</dd>


<dt>R</dt>
<dd>A positive integer giving the number of bootstrap replicates.</dd>

</dl>

confint,bsw-method: Estimating confidence intervals of the estimated model parameters of `bsw()`

Description

Usage

Value

Arguments

Author

Details