simTriangle-methods: Claim simulation result triangles

Description Usage Arguments Examples

Description

Claim simulation result triangles

Usage

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simTriangle(object, claimdata, simdata, ...)

## S4 method for signature 'Simulation,data.frame,data.frame'
simTriangle(object, claimdata,
  simdata, frequency = "yearly", startDate = as.Date("2012-01-01"),
  evaluationDate = as.Date("2016-12-31"),
  futureDate = as.Date("2017-12-31"))

Arguments

object

Simulation object

claimdata

claim data used as basis for simulation

simdata

simulation data generated by claimSimulation

...

Additional parameters that may or may not be used.

frequency

triangle frequency, either "yearly" or "quarterly";

startDate

Date after which claims are analyzed;

evaluationDate

Date of evaluation for existing claims and IBNR;

futureDate

Date of evaluation for UPR (future claims).

Examples

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#run time is about 30s(>10s) and is commented out here to avoid long waiting time
#library(cascsim)
#data(claimdata)
#lines <- c("Auto")
#types <- c("N")
#AutoN <- new("ClaimType", line = "Auto", claimType = "N")
#AutoN@exposureIndex <- setIndex(new("Index",indexID="I1",tabulate= FALSE,
#startDate=as.Date("2012-01-01"), annualizedRate = 0)) # level exposure across time
#AutoN@frequency <- new("Poisson", p1 =50)
#AutoN@severityIndex <- setIndex(new("Index",indexID="I2",tabulate= FALSE,
#startDate=as.Date("2012-01-01"), annualizedRate = 0.02)) #assuming a 2% annual inflation
#AutoN@severity <- new("Lognormal", p1 =2, p2 =3)
#AutoN@deductible <- new("Empirical", empirical=matrix(c(0,1,100,100),2,2))
#AutoN@limit <- new("Empirical", empirical=matrix(c(0,1,1e8,1e8),2,2))
#AutoN@p0<-new("DevFac",meanList=c(0,0),volList=c(0,0))
#AutoN@reportLag <- new("Exponential", p1 =0.1)
#AutoN@settlementLag <- new("Exponential", p1 =0.05)
#AutoN@iCopula <- TRUE #use copula
#AutoN@ssrCopula <- new("CopulaObj", type ="normal", dimension = 3, 
#param = c(0.1,0.2,0.1))#A Gaussian Copula
#AutoN@ssrCopula@marginal <- c(AutoN@severity,AutoN@settlementLag,AutoN@reportLag)
#AutoN@laeDevFac <- new("DevFac",FacID="F1",FacModel= TRUE,fun="linear",
#paras =c(5,1.5,0.005,1.2,3))
#AutoN@fIBNER <- new("DevFac",FacID="D1",FacModel= FALSE,
#meanList =c(1.2,1.15,1.1,1.05,1),volList =c(0,0,0,0,0))
#AutoN@reopen <- new("DevFac",FacID="D2",FacModel= FALSE,
#meanList =c(0.02,0.015,0.01,0.005,0),volList =c(0.003, 0.002, 0.001, 0.001, 0))
#AutoN@roDevFac <- new("DevFac",FacID="D3",FacModel= FALSE,
#meanList =c(1.05,1.1,1,1,1),volList =c(0.00589,0.0037,0.00632,0.00815,0))
#AutoN@reopenLag <- new("Exponential", p1 =0.01)
#AutoN@resettleLag <- new("Exponential", p1 =0.25)
#simobj <- new("Simulation", lines=lines, types=types, 
#claimobjs= list(AutoN),workingFolder=tempdir())
#simobj@simNo <- 1
#simobj@iRBNER <-FALSE
#simobj@iROPEN <-FALSE
#simobj@iIBNR <-TRUE
#simobj@iUPR <-FALSE
#simdata <- claimSimulation(simobj,claimdata, startDate = as.Date("2012-01-01"), 
#evaluationDate = as.Date("2016-12-31"), futureDate = as.Date("2017-12-31"))
#simSummary <- simSummary(simobj,simdata, startDate = as.Date("2012-01-01"))
#simTriangle <- simTriangle(simobj,claimdata,simdata, startDate = as.Date("2012-01-01"))

cascsim documentation built on Jan. 13, 2020, 5:07 p.m.