Estimating Disease Prevalence from Registry Data [R package rprev version 1.0.6]

rprev: Estimating Disease Prevalence from Registry Data

Estimates disease prevalence for a given index date using existing registry data extended with Monte Carlo simulations following the method of Crouch et al (2014) <doi:10.1016/j.canep.201402005>.

Version: 1.0.6

Depends: R (≥ 2.10), survival

Imports: data.table, dplyr, ggplot2, lazyeval, lubridate, magrittr, tidyr

Suggests: flexsurv, flexsurvcure, knitr, rmarkdown, rms, testthat, covr

Published: 2025年06月27日

DOI: 10.32614/CRAN.package.rprev

Author: Stuart Lacy [cre, aut], Simon Crouch [aut], Stephanie Lax [aut]

Maintainer: Stuart Lacy <stuart.lacy at york.ac.uk>

License: GPL-2

URL: https://github.com/stulacy/rprev-dev

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: rprev results

Documentation:

Reference manual: rprev.html , rprev.pdf

Vignettes: Diagnostics for rprev (source, R code)
rprev User Guide (source, R code)

Downloads:

Package source: rprev_1.0.6.tar.gz

Windows binaries: r-devel: rprev_1.0.6.zip, r-release: rprev_1.0.6.zip, r-oldrel: rprev_1.0.6.zip

macOS binaries: r-release (arm64): rprev_1.0.6.tgz, r-oldrel (arm64): rprev_1.0.6.tgz, r-release (x86_64): rprev_1.0.6.tgz, r-oldrel (x86_64): rprev_1.0.6.tgz

Old sources: rprev archive

Linking:

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