Computes simultaneous confidence intervals for multinomial proportions
using the Quesenberry and Hurst (1964) method. The function calculates
lower and upper confidence limits for each category, adjusts them to remain
within the valid [0, 1] range, and computes the overall interval volume
(the product of the 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

QH function

<dl><dt>inpmat</dt>
<dd>Integer vector of observed cell counts corresponding to
a categorical dataset. Must contain non-negative values.</dd>
<dt>alpha</dt>
<dd>Desired statistical significance level</dd></dl>

Arguments

Author

QH: Quesenberry and Hurst Method for Simultaneous Confidence Intervals — QH

<dl>

<dt>inpmat</dt>
<dd>Integer vector of observed cell counts corresponding to
a categorical dataset. Must contain non-negative values.</dd>


<dt>alpha</dt>
<dd>Desired statistical significance level</dd>

</dl>

QH: QH: Quesenberry and Hurst Method for Simultaneous Confidence Intervals

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples