Description Usage Arguments Details Value Note References See Also Examples

Function to generate random future lifetimes

1 2 3 |

`n` |
Number of variates to generate |

`object` |
An object of class lifetable |

`x` |
The attained age of subject x, default value is 0 |

`k` |
Number of periods within the year when it is possible death to happen, default value is 1 |

`type` |
Either |

`tablesList` |
An list of lifetables |

Following relation holds for the future life time: *T_x=K_x+0.5*

A numeric vector of n elements.

The function is provided as is, without any warranty regarding the accuracy of calculations. The author disclaims any liability for eventual losses arising from direct or indirect use of this software.

Actuarial Mathematics (Second Edition), 1997, by Bowers, N.L., Gerber, H.U., Hickman, J.C., Jones, D.A. and Nesbitt, C.J.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
## Not run:
##get 20000 random future lifetimes for the Soa life table at birth
data(soa08Act)
lifes=rLife(n=20000,object=soa08Act, x=0, type="Tx")
check if the expected life at birth derived from the life table is statistically equal
to the expected value of the sample
t.test(x=lifes, mu=exn(soa08Act, x=0, type="continuous"))
## End(Not run)
## Not run:
#assessment of curtate expectation of future lifetime of the joint-life status
#generate a sample of lifes
data(soaLt)
soa08Act=with(soaLt, new("actuarialtable",interest=0.06,x=x,lx=Ix,name="SOA2008"))
tables=list(males=soa08Act, females=soa08Act)
xVec=c(60,65)
test=rLifexyz(n=50000, tablesList = tables,x=xVec,type="Kx")
#check first survival status
t.test(x=apply(test,1,"min"),mu=exyzt(tablesList=tables, x=xVec,status="joint"))
#check last survival status
t.test(x=apply(test,1,"max"),mu=exyzt(tablesList=tables, x=xVec,status="last"))
## End(Not run)
``` |

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