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. |