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EpidigiR
View on CRAN: Click
here
Download and install EpidigiR package within the R console
Install from CRAN:
install.packages("EpidigiR")
Install from Github:
library("remotes")
install_github("cran/EpidigiR") Install by package version:
library("remotes")
install_version("EpidigiR", "0.1.2") Attach the package and use:
library("EpidigiR")
Maintained by
Esther Atsabina Wanjala
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-05
Latest Update: 2025-11-05
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>.
How to cite:
Esther Atsabina Wanjala (2025). EpidigiR: Digital Epidemiological Analysis and Visualization Tools. R package version 0.1.2, https://cran.r-project.org/web/packages/EpidigiR. Accessed 09 Sep. 2026.
Previous versions and publish date:
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