diagnostic_data

A dataset containing simulated data for evaluating diagnostic tests in epidemiological studies.

datasets

Integrates methods for epidemiological analysis, modeling, and visualization, including functions for summary statistics, SIR (Susceptible-Infectious-Recovered) modeling, DALY (Disability-Adjusted Life Years) estimation, age standardization, diagnostic test evaluation, NLP (Natural Language Processing) keyword extraction, clinical trial power analysis, survival analysis, SNP (Single Nucleotide Polymorphism) association, and machine learning methods such as logistic regression, k-means clustering, Random Forest, and Support Vector Machine (SVM). Includes datasets for prevalence estimation, SIR modeling, genomic analysis, clinical trials, DALY, diagnostic tests, and survival analysis. Methods are based on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham et al. (2019, ISBN:9781492052040>.

Esther Atsabina Wanjala

EpidigiR

Digital Epidemiological Analysis and Visualization Tools

diagnostic_data function

A data frame with 10 rows and 5 columns:<dl>
 <dt>test_id</dt>
<dd>Character, unique identifier for each test.</dd> <dt>true_positives</dt>
<dd>Numeric, number of true positive results.</dd> <dt>false_positives</dt>
<dd>Numeric, number of false positive results.</dd> <dt>true_negatives</dt>
<dd>Numeric, number of true negative results.</dd> <dt>false_negatives</dt>
<dd>Numeric, number of false negative results.</dd>
</dl>

Format

Diagnostic Test Data for Evaluation — diagnostic_data

A data frame with 10 rows and 5 columns:<dl>
 <dt>test_id</dt>
<dd>Character, unique identifier for each test.</dd>

 <dt>true_positives</dt>
<dd>Numeric, number of true positive results.</dd>

 <dt>false_positives</dt>
<dd>Numeric, number of false positive results.</dd>

 <dt>true_negatives</dt>
<dd>Numeric, number of true negative results.</dd>

 <dt>false_negatives</dt>
<dd>Numeric, number of false negative results.</dd>


</dl>

diagnostic_data: Diagnostic Test Data for Evaluation

Description

Usage

Arguments

Format

Examples