Estimating Disease Prevalence from Registry Data

Documentation for package ‘rprev’ version 1.0.5

counted_prevalence	Count prevalence from registry data.
draw_incident_population	Simulates an incident population according to a specific incidence model
extract_covars	Returns the name of the covariates in the registry data set that are required by the survival model.
fixed_cure	Builds survival models for diseases with cured fractions using population mortality tables
plot.incdiag	Visualise disease incidence.
plot.survfit.prev	Plot bootstrapped survival curves.
predict_survival_probability	Predicts survival probability for given individuals at specific times.
prevalence	Estimate point prevalence at an index date.
prevsim	Simulated patient dataset.
rprev	rprev: Estimate disease point prevalence using a combination of registry data and Monte Carlo simulations.
sim_prevalence	Estimate prevalence using Monte Carlo simulation.
summary.survfit.prev	Obtain N-year survival probability estimates.
survfit.prevalence	Form bootstrapped survival curves.
test_homogeneity	Inspects disease incidence for its compatibility with a homogeneous Poisson process.
test_prevalence_fit	Test simulated prevalence fit.
UKmortality	General population survival data.
validate_incidence_model	Tests custom incidence models
validate_survival_model	Tests that a custom survival object has the required attributes for use in the 'prevalence' function.