compute.main.effects: Compute main effects
In SSM: Fit and Analyze Smooth Supersaturated Models
Description
Usage
Arguments
Value
View source: R/sensitivity_SSM.R
Description
This function computes the Sobol indices of the model variables, also known
as the main effects. It identifies the relevant rows of the SSM basis
slot and sums the term variances. Called by update.sensitivity.
Usage
1
compute.main.effects(ssm)
Arguments
ssm
An SSM object.
Value
An SSM object. This is the ssm input with the
relevant slots updated.
SSM documentation built on May 1, 2019, 10:09 p.m.
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Description Usage Arguments Value
View source: R/sensitivity_SSM.R
Description
This function computes the Sobol indices of the model variables, also known
as the main effects. It identifies the relevant rows of the SSM basis
slot and sums the term variances. Called by update.sensitivity.
Usage
1 | compute.main.effects(ssm)
|
Arguments
ssm |
An SSM object. |
Value
An SSM object. This is the ssm input with the
relevant slots updated.
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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