| evalmcmod {mc2d} | R Documentation |
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 |
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
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)