getNames,MultiMethodMLEstimate-method

Returns the names slot from a MultiMethodMLEstimate object

Produce maximum likelihood estimates of common accuracy statistics
for multiple measurement methods when a gold standard is not available. An R
implementation of the expectation maximization algorithms described in Zhou et
al. (2011) <doi:10.1002/9780470906514> with additional functions for creating
simulated data and visualizing results. Supports binary, ordinal, and
continuous measurement methods.

Corie Drake

emery

Accuracy Statistic Estimation for Imperfect Gold Standards

getNames,MultiMethodMLEstimate-method function

<dl><dt>x</dt>
<dd>An object of class MultiMethodMLEstimate.</dd>
<dt>name</dt>
<dd>type of names to extract, e.g. "method_names", "obs_names", "level_names"</dd></dl>

Arguments

Return names from MultiMethodMLEstimate object — getNames,MultiMethodMLEstimate-method

<dl>

<dt>x</dt>
<dd>An object of class MultiMethodMLEstimate.</dd>


<dt>name</dt>
<dd>type of names to extract, e.g. "method_names", "obs_names", "level_names"</dd>

</dl>

getNames,MultiMethodMLEstimate-method: Return names from MultiMethodMLEstimate object

Description

Usage

Value

Arguments