evalmcmod: Evaluates a Monte-Carlo model

In mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

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)

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

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

mc2d documentation built on June 22, 2024, 10:54 a.m.