compute.covariance: Compute the unscaled covariance matrix.
In peterrobertcurtis/SSM: Fit and Analyze Smooth Supersaturated Models
Description
Usage
Arguments
Details
Value
Description
Computes the unscaled covariance matrix for an SSM object for a given
length parameter.
Usage
1
compute.covariance(ssm, r)
Arguments
ssm
An SSM object.
r
A number. The length parameter used by the correlation function.
Details
The covariance matrix uses the correlation function specified by the SSM slot
type. "matern32" uses a Matern 3/2 correlation while
"exp" uses a squared exponential.
Value
The unscaled covariance matrix.
peterrobertcurtis/SSM documentation built on May 25, 2019, 2:10 a.m.
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Description Usage Arguments Details Value
Description
Computes the unscaled covariance matrix for an SSM object for a given length parameter.
Usage
1 | compute.covariance(ssm, r)
|
Arguments
ssm |
An SSM object. |
r |
A number. The length parameter used by the correlation function. |
Details
The covariance matrix uses the correlation function specified by the SSM slot
type. "matern32" uses a Matern 3/2 correlation while
"exp" uses a squared exponential.
Value
The unscaled covariance matrix.
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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