evalmcmod function

Evaluates a Monte-Carlo model

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

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

Examples

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

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.

Returns

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

See Also

mcmodel

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

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.