smoothness.over.design: Compute the smoothness of an SSM at all design points.
In peterrobertcurtis/SSM: Fit and Analyze Smooth Supersaturated Models
Description
Usage
Arguments
Value
Description
This function evaluates the Frobenius norm of the Hessian matrix at all
design points. Used in the compuation of distance measures based on local
smoothness.
Usage
1
Arguments
ssm
An SSM object.
Value
A vector of integers containing the smoothness at each design point.
peterrobertcurtis/SSM documentation built on May 25, 2019, 2:10 a.m.
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Description Usage Arguments Value
Description
This function evaluates the Frobenius norm of the Hessian matrix at all design points. Used in the compuation of distance measures based on local smoothness.
Usage
1 |
Arguments
ssm |
An SSM object. |
Value
A vector of integers containing the smoothness at each design point.
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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