aggregateModel: Aggregate model results at different time points

In MJomaba/flu-evidence-synthesis: Flu Evidence Synthesis: Analysing Effectiveness of Vaccine Strategies

Aggregate model results at different time points

Description

This function is useful to convert the mcmc results into aggregated results, such as mean, variance etc.

Usage

aggregateModel(func, batch, aggregate, ...)

Arguments

func	The function that gets called for each set of parameters (e.g. infectionODEs)
batch	Posterior parameters samples resulting from mcmc. Each row is a set of parameters
aggregate	The aggragation function (i.e. mean, var etc). If the function returns a list, then the names are used in the return value
...	Extra parameters passed to func.

Value

Returns a data.frame in long format, with for each time point, interval, column.ID the value

MJomaba/flu-evidence-synthesis documentation built on April 26, 2022, 11:12 p.m.