ultiDevFac: Calculate ultimate development factor based on current...
In cascsim: Casualty Actuarial Society Individual Claim Simulator
Description
Usage
Arguments
Examples
Description
Calculate ultimate development factor based on current development year, a mean development factor schedule and its volatility. It is used to simulate the ultimate loss for open claims.
Usage
1
2
ultiDevFac(Years, meanDevFac, sdDevFac = rep(0, length(meanDevFac)),
distType = "normal")
Arguments
Years
Include two columns: Current development year and Settlement Year
meanDevFac
A vector that contains the expected development factor schedule for Normal distribution. It is mu for Lognormal distribution and shape for Gamma distribution.
sdDevFac
A vector that contains the standard deviation of expected development factor schedule for Normal distribution. It is sigma for Lognormal distribution and scale for Gamma distribution.
distType
distribution type for development factor. It can be "normal", "lognormal" or "gamma".
Examples
1
2
3
4
meanfac<-c(1.1,1.08,1.05,1.03,1.01,1)
volfac<-rep(0.02,6)
years<-matrix(c(1:6),3,2)
ultiDevFac(years,meanfac,volfac)
cascsim documentation built on Jan. 13, 2020, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Examples
Description
Calculate ultimate development factor based on current development year, a mean development factor schedule and its volatility. It is used to simulate the ultimate loss for open claims.
Usage
1 2 | ultiDevFac(Years, meanDevFac, sdDevFac = rep(0, length(meanDevFac)),
distType = "normal")
|
Arguments
Years |
Include two columns: Current development year and Settlement Year |
meanDevFac |
A vector that contains the expected development factor schedule for Normal distribution. It is mu for Lognormal distribution and shape for Gamma distribution. |
sdDevFac |
A vector that contains the standard deviation of expected development factor schedule for Normal distribution. It is sigma for Lognormal distribution and scale for Gamma distribution. |
distType |
distribution type for development factor. It can be "normal", "lognormal" or "gamma". |
Examples
1 2 3 4 | meanfac<-c(1.1,1.08,1.05,1.03,1.01,1)
volfac<-rep(0.02,6)
years<-matrix(c(1:6),3,2)
ultiDevFac(years,meanfac,volfac)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.