EpidigiR
0.1.2Digital Epidemiological Analysis and Visualization Tools
Overview
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>.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 20.0 median / 23 max
- Test cases
- 9 / 0.50 per code line
Test coverage
Line coverage
41%
Expression
44.8%
Tests / Examples
40.6% / 44% ex
Functions
3 3 exported
Complexity
17.7 avg / 23 max
Call network
3 nodes / 0 edges
Call graph
Open call graph →Lowest coverage
3 functions| Function | Cyclo | Coverage |
|---|---|---|
| epi_model exp | 20 | 36% |
| epi_analyze exp | 23 | 36% |
| epi_visualize exp | 10 | 70% |
Datasets
| Name | Class | Rows × Cols | Also ships in |
|---|---|---|---|
| clinical_data | data.frame | 200 × 6 | – |
| daly_data | data.frame | 20 × 3 | – |
| diagnostic_data | data.frame | 10 × 5 | – |
| epi_prevalence | data.frame | 12 × 7 | – |
| geno_data | data.frame | 100 × 2 | – |
| ml_data | data.frame | 100 × 5 | – |
| nlp_data | data.frame | 100 × 2 | – |
| sir_data | data.frame | 50 × 4 | – |
| survey_data | data.frame | 20 × 3 | – |
| survival_data | data.frame | 100 × 3 | – |
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-11-05
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 11 KB / 10 files
- Download size
- 56 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet