cascsim (version 0.4)

setFitdata: Preparing the input data (observation) for distribution fitting, including detrending, translating occurrence dates to frequency data, etc.

Description

Preparing the input data (observation) for distribution fitting, including detrending, translating occurrence dates to frequency data, etc.

Usage

setFitdata(object, ...)
# S4 method for FitDist
setFitdata(object)

Arguments

object

FitDist Object

...

Additional function arguments

Examples

# NOT RUN {
library(cascsim)
data(claimdata)

#frequecy fitting example
findex <- new("Index", startDate = as.Date("2012-01-01"), tabulate=TRUE, monthlyIndex = c(rep(1,11),
cumprod(c(1,rep(1.5^(1/12),11))),cumprod(c(1.5,rep((1.3/1.5)^(1/12),11))),
cumprod(c(1.3,rep((1.35/1.3)^(1/12),11))),cumprod(c(1.35,rep((1.4/1.35)^(1/12),11))),1.4))
rawdata <- as.data.frame(as.Date(claimdata[(claimdata[,"LoB"]=="Auto" & 
claimdata[,"Type"]=="H"),]$occurrenceDate))
colnames(rawdata)<-"occurrenceDate"
xFit <- new("FitDist", observation=rawdata, trend=findex,startDate = as.Date("2012-01-01"),
method="mle",ifreq=TRUE,idate=TRUE, freq="Monthly")
xFit <- setFitdata(xFit)
xFit@fitdata
# }