Provides a unified framework for epidemiological data analysis and disease surveillance. The package supports descriptive epidemiology, incidence, prevalence and mortality estimation, age standardization, trend analysis, geographic summaries, disease risk prediction, and automated analytical workflows. Designed for researchers and public health professionals, it facilitates reproducible analyses of epidemiological datasets using established statistical and predictive modeling techniques. Methods are informed by standard epidemiological references including Rothman et al. (2008, ISBN:9780781755641) and Gordis (2014, ISBN:9781455737338).
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr, rlang |
| Suggests: | testthat |
| Published: | 2026-07-07 |
| DOI: | 10.32614/CRAN.package.EpiScopeK |
| Author: | Khalid Ul Islam Rather [aut, cre] |
| Maintainer: | Khalid Ul Islam Rather <drkhalidulislam at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EpiScopeK results |
| Reference manual: | EpiScopeK.html , EpiScopeK.pdf |
| Package source: | EpiScopeK_0.1.1.tar.gz |
| Windows binaries: | r-devel: EpiScopeK_0.1.1.zip, r-release: EpiScopeK_0.1.1.zip, r-oldrel: EpiScopeK_0.1.1.zip |
| macOS binaries: | r-release (arm64): EpiScopeK_0.1.1.tgz, r-oldrel (arm64): EpiScopeK_0.1.1.tgz, r-release (x86_64): EpiScopeK_0.1.1.tgz, r-oldrel (x86_64): EpiScopeK_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=EpiScopeK to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.