compute.covariance.from.distance: Compute unscaled covariance matrix from a supplied distance...
In SSM: Fit and Analyze Smooth Supersaturated Models
Description
This is a legacy function and is not used.
Usage
1
compute.covariance.from.distance(distance, r, type = "exp", ssm)
Arguments
distance
A matrix. A symmetric matrix of distances between design
points.
r
A number. The length parameter for the correlation function
type
(optional) Character. Specifies the correlation function. Default
behaviour is to use "exp" for a squared exponential correlation.
"Matern32" uses a Matern 3/2 correlation.
ssm
(obsolete) An SSM object. Used for the removed
"ssm" correlation function which tried to use the local smoothness
of the SSM to measure distances.
SSM documentation built on May 1, 2019, 10:09 p.m.
R Package Documentation
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Description
This is a legacy function and is not used.
Usage
1 | compute.covariance.from.distance(distance, r, type = "exp", ssm)
|
Arguments
distance |
A matrix. A symmetric matrix of distances between design points. |
r |
A number. The length parameter for the correlation function |
type |
(optional) Character. Specifies the correlation function. Default
behaviour is to use |
ssm |
(obsolete) An SSM object. Used for the removed
|
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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