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EpidigiR  

Digital Epidemiological Analysis and Visualization Tools
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]
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 20 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited EpidigiR R package
View EpidigiR citation profile
Other R packages that EpidigiR depends, imports, suggests or enhances
Complete documentation for EpidigiR
Functions, R codes and Examples using the EpidigiR R package
Full EpidigiR package functions and examples
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