evalmcmod: Evaluates a Monte-Carlo model

Description Usage Arguments Details Value Note See Also Examples

View source: R/evalmcmod.R

Description

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

Usage

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

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.

Value

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

Note

The seed is set at the beginning of the evaluation. Thus, the complete similarity of two evaluations with similar seed is not certain, depending on the structure of your model.

See Also

mcmodel

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

Examples

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

mc2d documentation built on July 5, 2021, 5:09 p.m.