dmvnorm

Return the density of a point in a multivariate normal distribution

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

dmvnorm function

<dl><dt>x</dt>
<dd>matrix of observations</dd>
<dt>mu</dt>
<dd>vector of method means</dd>
<dt>sigma</dt>
<dd>method covariance matrix</dd></dl>

Arguments

Multivariate Normal Densities — dmvnorm

<dl>

<dt>x</dt>
<dd>matrix of observations</dd>


<dt>mu</dt>
<dd>vector of method means</dd>


<dt>sigma</dt>
<dd>method covariance matrix</dd>

</dl>

dmvnorm: Multivariate Normal Densities

Description

Usage

Arguments