fludiff: fludiff: Compute excess mortality

In kmcconeghy/flumodelr: An R Package for Estimating Attributable Influenza Morbidity and Mortality

Description

This function takes fitted data from a serflm() or similar procedure and computes difference between observed and predicted mortality.

Usage

fludiff(data = NULL, obsvar = NULL, fitvar = NULL, serfrule = F)

Arguments

data	A dataframe class object, must contain observed, fitted variables
obsvar	named observed outcome variable
fitvar	named fitted trend variable. Can specify either fit line, or upper threshold limit.
serfrule	Logical, default=F. If T the function will apply the Serfling rule which only counts consecutive observations of excess mortality.

Value

an object of class dataframe

Examples

require(flumodelr)
df <- flumodelr::fludta
serf_fit <- fluserf(fludta, outc =fludeaths, time =yrweek_dt)  
excess_fludeaths <- fludiff(serf_fit, obsvar=fludeaths, fitvar=y0)

kmcconeghy/flumodelr documentation built on June 7, 2019, 8:47 p.m.