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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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.