validate_incidence_model: Tests custom incidence models

In stulacy/rprev-dev: Estimating Disease Prevalence from Registry Data

Description

Runs checks to assess whether a custom incidence model is suitable for use in prevalence. Provides useful diagnostic messages if any issues are encountered.

Usage

validate_incidence_model(object, data, timeframe = 3652)

Arguments

object	An incidence model to be tested
data	Registry data in the form of a data frame. Ideally will be the same source that will be used for the prevalence estimation later on.
timeframe	How long to generate incident cases for in days. This is disease-specific, but the default of ten years should work well for most diseases.

Value

The dummy incident population that has been generated to allow for further diagnostics to be run.

stulacy/rprev-dev documentation built on May 7, 2021, 4:17 a.m.