qcat

Compute the quantile function for a categorical distribution.

Provides tools for applying Sklar's Omega (Hughes, 2018) <arXiv:1803.02734>
methodology to nominal scores, ordinal scores, percentages, counts, amounts (i.e.,
non-negative real numbers), and balances (i.e., any real number). The framework can
accommodate any number of units, any number of coders, and missingness; and
can be used to measure agreement with a gold standard, intra-coder agreement,
and/or inter-coder agreement. Frequentist inference is supported for all levels
of measurement. Bayesian inference is supported for continuous scores only.

John Hughes

sklarsomega

Measuring Agreement Using Sklar's Omega Coefficient

qcat function

<dl><dt>pr</dt>
<dd>vector of probabilities.</dd>
<dt>p</dt>
<dd>vector of proabilities.</dd>
<dt>lower.tail</dt>
<dd>logical; if TRUE (default), probabilities are \(P(X \le x)\), otherwise, \(P(X &gt; x)\).</dd>
<dt>log.pr</dt>
<dd>logical; if TRUE, probabilities \(pr\) are handled as log\((pr)\).</dd></dl>

Arguments

Compute the quantile function for a categorical distribution. — qcat

<dl>

<dt>pr</dt>
<dd>vector of probabilities.</dd>


<dt>p</dt>
<dd>vector of proabilities.</dd>


<dt>lower.tail</dt>
<dd>logical; if TRUE (default), probabilities are \(P(X \le x)\), otherwise, \(P(X &gt; x)\).</dd>


<dt>log.pr</dt>
<dd>logical; if TRUE, probabilities \(pr\) are handled as log\((pr)\).</dd>

</dl>

qcat: Compute the quantile function for a categorical distribution.

Description

Usage

Value

Arguments

Details