What is polychaosbasics?
polychaosbasics is a
R
package which computes
sensitivity indexes by using a method based on a truncated Polynomial Chaos Expansion of the response.
The necessary condition of the method is: the inputs must be uniformly and independently sampled. Since the inputs are uniformly distributed, the truncated Polynomial Chaos Expansion is built from the multivariate Legendre orthogonal polynomials.
Note that, when the inputs are dependent or not uniformly distributed, the package
plspolychaos
can be used.
This package is developed in the
MaIAGE Lab. of
INRA - Jouy-en-Josas,
France.
Authors
J.-P. Gauchi (MaIAGE, INRA) [creator],
A. Bouvier (MaIAGE, INRA) [author],
A. Bensadoun (MaIAGE, INRA) [author]
References
J.-P. Gauchi, A. Bensadoun, F. Colas, N. Colbach. Metamodeling and global sensitivity analysis for computer models with correlated inputs: A practical approach tested with 3D light interception computer model. Environmental Modelling & Software, Volume 92, June 2017. p. 40-56.
doi.
Example
Some examples of
polychaosbasics use can
be found
User Guide (pdf).
polychaosbasics is an open source, freely available software released under
the GPL-3 Licence.
R
system, and
the R-packages: lhs,
MASS
Download the last version
here
(uncompress the file before installation)
or from
the CRAN site.
Annie.Bouvier at
inra.fr
Jean-Pierre.Gauchi at
inra.fr
