unique_obs_summary

Extract unique rows from a data frame. Collect row names of duplicate observations and frequencies of each.

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

unique_obs_summary function

<dl><dt>data</dt>
<dd>An <code>n_obs</code> by <code>n_method</code> <code><a href="/link/matrix?package=emery&version=0.7.0" data-mini-rdoc="emery::matrix">matrix</a></code> containing the
observed values for each method. If the dimensions are named, row names will
be used to name each observation (<code>obs_names</code>) and column names will be used
to name each measurement method (<code>method_names</code>).</dd></dl>

Arguments

Reduce Data by Summarizing Observations — unique_obs_summary

<dl>

<dt>data</dt>
<dd>An <code>n_obs</code> by <code>n_method</code> <code><a href='https://rdrr.io/r/base/matrix.html'>matrix</a></code> containing the
observed values for each method. If the dimensions are named, row names will
be used to name each observation (<code>obs_names</code>) and column names will be used
to name each measurement method (<code>method_names</code>).</dd>

</dl>

unique_obs_summary: Reduce Data by Summarizing Observations

Description

Usage

Value

Arguments