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prevtoinc
View on CRAN: Click
here
Download and install prevtoinc package within the R console
Install from CRAN:
install.packages("prevtoinc")
Install from Github:
library("remotes")
install_github("cran/prevtoinc") Install by package version:
library("remotes")
install_version("prevtoinc", "0.12.0") Attach the package and use:
library("prevtoinc")
Maintained by
Niklas Willrich
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-10
Latest Update: 2019-06-18
Description:
Functions to simulate point prevalence studies (PPSs) of healthcare-associated infections (HAIs) and to convert prevalence to incidence in steady state setups.
Companion package to the preprint Willrich et al., From prevalence to incidence - a new approach in the hospital setting;
, where methods are explained in detail.
How to cite:
Niklas Willrich (2019). prevtoinc: Prevalence to Incidence Calculations for Point-Prevalence Studies in a Nosocomial Setting. R package version 0.12.0, https://cran.r-project.org/web/packages/prevtoinc. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 0.11.0 (2019-03-10 09:30)
Other packages that cited prevtoinc R package
View prevtoinc citation profile
Other R packages that prevtoinc depends,
imports, suggests or enhances
Complete documentation for prevtoinc
Functions, R codes and Examples using
the prevtoinc R package
Some associated functions: A_to_X_dist . CI_np_bs . X_to_A_dist . calculate_CI_I_pp . calculate_I . calculate_I_mixed . calculate_I_rhame . calculate_I_smooth . create_dist_vec . create_patient_history_add . epmf . generate_I_fast . geom_dist_fct . length_biased_dist . length_unbiased_mean . monotone_smoother . pois_dist_fct . prevtoinc . simulate_incidence_stats . simulate_incidence_stats_fast . simulate_pps_data . simulate_pps_fast .
Some associated R codes: CIfunctions.R . calculateIfunctions.R . estimationfunctions.R . prevtoinc.R . simulationsfunctions.R . Full prevtoinc package functions and examples
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