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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "EpidigiR" in publications use:'
type: software
license: MIT
title: 'EpidigiR: Digital Epidemiological Analysis and Visualization Tools'
version: 0.1.2
doi: 10.32614/CRAN.package.EpidigiR
abstract: 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) <https://doi.org/10.1201/b16018>
  and Wickham et al. (2019, ISBN:9781492052040>.
authors:
- family-names: Wanjala
  given-names: Esther Atsabina
  email: digitalepidemiologist23@gmail.com
repository: https://cran.r-universe.dev
commit: 5684241436f78556d98f4b479f2de7ae85bebae2
date-released: '2025-11-05'
contact:
- family-names: Wanjala
  given-names: Esther Atsabina
  email: digitalepidemiologist23@gmail.com