Package: EpiScopeK 0.1.1

Khalid Ul Islam Rather

EpiScopeK: Comprehensive Epidemiological Analysis Toolkit

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).

Authors:Khalid Ul Islam Rather [aut, cre]

EpiScopeK_0.1.1.tar.gz
EpiScopeK_0.1.1.tar.gz(r-4.7-any)EpiScopeK_0.1.1.tar.gz(r-4.6-any)
EpiScopeK_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EpiScopeK/json (API)

# Install 'EpiScopeK' in R:
install.packages('EpiScopeK', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • epi_data - Epidemiological Example Dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 8 exports 15 dependencies

Last updated from:49d0c6dbe4. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK173
linux-release-x86_64OK110
wasm-releaseOK109

Exports:epi_pipelineKepi_summaryKgeo_epiKincidence_rateKmortality_rateKprevalence_rateKrisk_predictKtrend_epiK

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr