doSample-methods: Sampling from the distribution.

In cascsim: Casualty Actuarial Society Individual Claim Simulator

Description

Sampling from the distribution.

Usage

doSample(object, n, ...)

## S4 method for signature 'Normal,numeric'
doSample(object, n)

## S4 method for signature 'Beta,numeric'
doSample(object, n)

## S4 method for signature 'Exponential,numeric'
doSample(object, n)

## S4 method for signature 'Gamma,numeric'
doSample(object, n)

## S4 method for signature 'Lognormal,numeric'
doSample(object, n)

## S4 method for signature 'Pareto,numeric'
doSample(object, n)

## S4 method for signature 'Poisson,numeric'
doSample(object, n)

## S4 method for signature 'NegativeBinomial,numeric'
doSample(object, n)

## S4 method for signature 'Geometric,numeric'
doSample(object, n)

## S4 method for signature 'Uniform,numeric'
doSample(object, n)

## S4 method for signature 'Weibull,numeric'
doSample(object, n)

## S4 method for signature 'Empirical,numeric'
doSample(object, n)

Arguments

object	A Distribution Object
n	Number of samples
...	Additional function arguments

Examples

xPareto <- new("Pareto",p1=20,p2=3)
doSample(xPareto,10000)

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