quality: quality of any approximation
In multisensi: Multivariate Sensitivity Analysis
quality R Documentation
quality of any approximation
Description
Function that computes the sensitivity quality after making some assumptions about the number of PCs and the number of interactions
Usage
quality(echsimul, echsimul.app)
Arguments
echsimul
model outputs
echsimul.app
Predicted model output
Value
A list with the following components:
- moy.biais
mean of the residuals
- residuals
biais
- coef.det
R-square
Note
This is essentially an internal function for the multisensi package
multisensi documentation built on Aug. 20, 2026, 1:08 a.m.
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| quality | R Documentation |
quality of any approximation
Description
Function that computes the sensitivity quality after making some assumptions about the number of PCs and the number of interactions
Usage
quality(echsimul, echsimul.app)
Arguments
echsimul |
model outputs |
echsimul.app |
Predicted model output |
Value
A list with the following components:
- moy.biais
mean of the residuals
- residuals
biais
- coef.det
R-square
Note
This is essentially an internal function for the multisensi package
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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