setprobs<- | R Documentation |
Set the percentiles to be matched. Only used when qme is chosen for fitting method.
setprobs(this, ...) <- value ## S4 replacement method for signature 'FitDist,vector' setprobs(this) <- value
this |
FitDist Object |
... |
Additional function arguments |
value |
A numeric vector with values between 0 and 1. |
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") setprobs(xFit) <- c(0.1,0.5,0.9) xFit@probs
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