show,MultiMethodMLEstimate-method

Print the accuracy statistic estimates stored in 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

show,MultiMethodMLEstimate-method function

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

Arguments

Show a MultiMethodMLEstimate S4 object — show,MultiMethodMLEstimate-method

<dl>

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

</dl>

show,MultiMethodMLEstimate-method: Show a MultiMethodMLEstimate S4 object

Description

Usage

Value

Arguments