Package: EpidigiR
Type: Package
Title: Digital Epidemiological Analysis and Visualization Tools
Version: 0.1.2
Authors@R: 
    person(given = "Esther Atsabina",
           family = "Wanjala",
           email = "digitalepidemiologist23@gmail.com",
           role = c("aut", "cre"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.3.2
Depends: R (>= 4.0.0)
Imports: deSolve, sp, tm, glmnet, caret, survival
Suggests: kernlab, randomForest, stats, knitr, rmarkdown, quarto,
        usethis, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Author: Esther Atsabina Wanjala [aut, cre]
Maintainer: Esther Atsabina Wanjala <digitalepidemiologist23@gmail.com>
Packaged: 2025-11-03 07:06:11 UTC; atsab
Repository: CRAN
Date/Publication: 2025-11-05 20:30:13 UTC
Built: R 4.6.0; ; 2026-04-30 10:44:46 UTC; unix
