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rprev
View on CRAN: Click
here
Download and install rprev package within the R console
Install from CRAN:
install.packages("rprev")
Install from Github:
library("remotes")
install_github("cran/rprev") Install by package version:
library("remotes")
install_version("rprev", "1.0.6") Attach the package and use:
library("rprev")
Maintained by
Stuart Lacy
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-06
Latest Update: 2025-06-27
Description:
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) .
How to cite:
Stuart Lacy (2016). rprev: Estimating Disease Prevalence from Registry Data. R package version 1.0.6, https://cran.r-project.org/web/packages/rprev. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:53), 0.1.0 (2016-06-06 14:01), 0.2.0 (2016-07-13 14:52), 0.2.2 (2016-09-02 22:45), 0.2.3 (2017-02-13 23:47), 0.2.4 (2017-09-23 00:41), 1.0.0 (2018-06-07 18:17), 1.0.1 (2019-01-21 15:10), 1.0.2 (2019-03-12 17:20), 1.0.3 (2019-12-12 10:20), 1.0.4 (2020-03-20 08:30), 1.0.5 (2021-05-04 18:40), 1.0.6 (2025-06-28 00:40)
Other packages that cited rprev R package
View rprev citation profile
Other R packages that rprev depends,
imports, suggests or enhances
Complete documentation for rprev
Functions, R codes and Examples using
the rprev R package
Some associated functions: UKmortality . counted_prevalence . draw_incident_population . extract_covars . fixed_cure . plot.incdiag . plot.survfit.prev . predict_survival_probability . prevalence . prevsim . rprev . sim_prevalence . summary.survfit.prev . survfit.prevalence . test_homogeneity . test_prevalence_fit . validate_incidence_model . validate_survival_model .
Some associated R codes: data.R . diagnostics.R . fixedcure.R . flexsurv.R . homogeneous_poisson.R . inc_model.R . incidence.R . point_estimate.R . prevalence.R . rprev.R . surv_model.R . survfit.prev.R . survregmin.R . test_custom_models.R . utils.R . Full rprev package functions and examples
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