Computes simultaneous confidence intervals for multinomial proportions
using the Fitzpatrick and Scott (FS) method. The function estimates the
lower and upper confidence limits for each category, adjusts them to
remain within the [0, 1] range, and calculates the overall volume
(product of interval widths).

Several authors have proposed methods for constructing simultaneous confidence intervals for multinomial proportions. The package implements seven classical approaches—Wilson, Quesenberry and Hurst, Goodman, Wald (with and without continuity correction), Fitzpatrick and Scott, and Sison and Glaz—along with Bayesian methods based on Dirichlet models. Both equal and unequal Dirichlet priors are supported, providing a broad framework for inference, data analysis, and sensitivity evaluation.

originally by Subbiah M  packaged by Sumathi R

CoinMinD

Simultaneous Confidence Intervals for Multinomial Proportions

Subbiah M

FS function

<dl><dt>inpmat</dt>
<dd>Integer vector of observed counts (non-negative values).</dd>
<dt>alpha</dt>
<dd>Desired statistical Significance level.</dd></dl>

Arguments

FS: Fitzpatrick and Scott Method for Simultaneous Confidence Intervals — FS

<dl>

<dt>inpmat</dt>
<dd>Integer vector of observed counts (non-negative values).</dd>


<dt>alpha</dt>
<dd>Desired statistical Significance level.</dd>

</dl>

FS: FS: Fitzpatrick and Scott Method for Simultaneous Confidence Intervals

Description

Usage

Value

Arguments

Examples