| SA_sample {COINr} | R Documentation |
Generate sample for sensitivity analysis
Description
Generates an input sample for a Monte Carlo estimation of global sensitivity indices. Used in
the get_sensitivity() function. The total sample size will be N(d+2).
Usage
SA_sample(N, d)
Arguments
N |
The number of sample points per dimension. |
d |
The dimensionality of the sample |
Details
This function generates a Monte Carlo sample as described e.g. in the Global Sensitivity Analysis: The Primer book.
Value
A matrix with N(d+2) rows and d columns.
See Also
-
get_sensitivity()Perform global sensitivity or uncertainty analysis on a COIN. -
SA_estimate()Estimate sensitivity indices from system output, as a result of input design from SA_sample().
Examples
# sensitivity analysis sample for 3 dimensions with 100 points per dimension
X <- SA_sample(100, 3)
[Package COINr version 1.1.14 Index]