mc2d (version 0.2.0)

evalmcmod: Evaluates a Monte-Carlo model

Description

Evaluates a mcmodel object (or a valid expression) using a specified number of simulations and with (or without) a specified seed.

Usage

evalmcmod(expr, nsv=ndvar(), nsu=ndunc(), seed=NULL)

Value

The results of the evaluation. It should be a mc object.

Arguments

expr

A model of class mcmodel or a valid expression.

nsv

The number of simulations in the dimension of variability used in the evaluation.

nsu

The number of simulations in the dimension of uncertainty used in the evaluation.

seed

The random seed used for the evaluation. If NULL the seed is unchanged.

Details

The model is evaluated. The intermediate variables used to build the mc object are not stored.

See Also

mcmodel

evalmccut to evaluate high dimension Monte Carlo Model in a loop.

Examples

data(ec)
ec$modEC1
evalmcmod(ec$modEC1, nsv=100, nsu=100, seed=666)