Excess Mortality Analysis

Usage

excessmortality(
  data,
  timeVar,
  statusVar,
  ageVar,
  sexVar,
  covariates,
  expectedRate = "population",
  splineType = "bs",
  nknots = 4,
  degree = 3,
  confidenceLevel = 95,
  plotHazard = TRUE,
  plotSurvival = TRUE,
  plotCumHazard = FALSE,
  timePoints = "1,2,3,5,10"
)

Arguments

data: .
timeVar: .
statusVar: .
ageVar: .
sexVar: .
covariates: .
expectedRate: .
splineType: .
nknots: .
degree: .
confidenceLevel: .
plotHazard: .
plotSurvival: .
plotCumHazard: .
timePoints: .

Value

A results object containing:

`results$instructions`					a html
`results$modelSummary`					a table
`results$coefficients`					a table
`results$predictions`					a table
`results$goodnessOfFit`					a table
`results$hazardPlot`					an image
`results$survivalPlot`					an image
`results$cumHazardPlot`					an image

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$modelSummary$asDF

as.data.frame(results$modelSummary)