periodontal

Data from enzymatic diagnostic tests to detect two organisms
Treponema denticola and Bacteroides gingivalis.

datasets

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

periodontal function

A data frame with 50 rows and 3 variables:<dl>
<dt>ni</dt>
<dd>Total numbers of sites tested for each individual</dd><dt>si</dt>
<dd>Number of positive tests for each individual</dd><dt>ti</dt>
<dd>Status of the individual (1=infected, 0=non-infected)</dd>
</dl>

Format

A periodontal dataset — periodontal

A data frame with 50 rows and 3 variables:<dl>
<dt>ni</dt>
<dd>Total numbers of sites tested for each individual</dd>

<dt>si</dt>
<dd>Number of positive tests for each individual</dd>

<dt>ti</dt>
<dd>Status of the individual (1=infected, 0=non-infected)</dd>


</dl>

periodontal: A periodontal dataset

Description

Usage

Arguments

Format

References

Examples