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Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Version: | 2.0.75 |
Depends: | R (≥ 3.0.0), survival |
Imports: | BiasedUrn, pander, methods, sf, lubridate, zoo, flextable, officer |
Suggests: | MASS (≥ 3.1-20), dplyr, foreign, ggplot2, knitr, mapproj, rmarkdown, plyr, RColorBrewer, scales, sp, spData (≥ 2.3.0), spatstat, tidyr |
Published: | 2024-06-17 |
DOI: | 10.32614/CRAN.package.epiR |
Author: | Mark Stevenson |
Maintainer: | Mark Stevenson <mark.stevenson1 at unimelb.edu.au> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | Epidemiology, MetaAnalysis, Survival |
CRAN checks: | epiR results |
Reference manual: | epiR.pdf |
Vignettes: |
Descriptive epidemiology Measures of association Sample size calculations Disease surveillance |
Package source: | epiR_2.0.75.tar.gz |
Windows binaries: | r-devel: epiR_2.0.75.zip, r-release: epiR_2.0.75.zip, r-oldrel: epiR_2.0.75.zip |
macOS binaries: | r-release (arm64): epiR_2.0.75.tgz, r-oldrel (arm64): epiR_2.0.75.tgz, r-release (x86_64): epiR_2.0.75.tgz, r-oldrel (x86_64): epiR_2.0.75.tgz |
Old sources: | epiR archive |
Reverse depends: | EpiStats, RcmdrPlugin.EBM |
Reverse imports: | Dtableone, dtComb, gofcat, granulator, PSS.Health, pubh, RSurveillance, spectacles |
Reverse suggests: | broom, FRESA.CAD, insight, metaConvert, metaumbrella, parameters |
Please use the canonical form https://CRAN.R-project.org/package=epiR to link to this page.
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.
Health stats visible at Monitor.