classify_with_scores

Classification based on a thresholding of the scores

Statistical methods for analyzing binary replicates, which are noisy
binary measurements of latent binary states. Provides scoring functions
(average, median, likelihood-based, and Bayesian) to estimate the probability
that an individual is in the positive state. Includes maximum a posteriori
estimation via the EM algorithm and full Bayesian inference via Stan.
Supports classification with inconclusive decisions and prevalence estimation.

Pierre Pudlo

BinaryReplicates

Dealing with Binary Replicates

Manuela Royez-Carenzi

Hadrien Lorenzo

classify_with_scores function

<dl><dt>scores</dt>
<dd>Numeric vector of the scores, computed with
average_scoring, median_scoring, MAP_scoring or bayesian_scoring</dd>
<dt>vL</dt>
<dd>The lower threshold</dd>
<dt>vU</dt>
<dd>The upper threshold</dd></dl>

Arguments

Classification based on a thresholding of the scores — classify_with_scores

<dl>

<dt>scores</dt>
<dd>Numeric vector of the scores, computed with
average_scoring, median_scoring, MAP_scoring or bayesian_scoring</dd>


<dt>vL</dt>
<dd>The lower threshold</dd>


<dt>vU</dt>
<dd>The upper threshold</dd>

</dl>

classify_with_scores: Classification based on a thresholding of the scores

Description

Usage

Value

Arguments

Details