covmat: construct variance-covariance matrix
In bbolker/cpcbp: common principal components/back-projection analysis
Description
Usage
Arguments
Details
Value
Note
Author(s)
Examples
Description
Generates a variance-covariance matrix from variances and correlations
Usage
1
covmat(vars, cors, tol=1e-7)
Arguments
vars
a numeric vector of variances
cors
a numeric vector of correlations: replicated to the appropriate
length if necessary
tol
numeric tolerance for checking positive definiteness
Details
Creates a variance-covariance matrix with the specified variances and
correlations.
Value
A square numeric matrix.
Note
Warns, but does not stop, if the matrix is non-positive-definite.
Author(s)
Ben Bolker
Examples
1
bbolker/cpcbp documentation built on May 11, 2019, 9:28 p.m.
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Description Usage Arguments Details Value Note Author(s) Examples
Description
Generates a variance-covariance matrix from variances and correlations
Usage
1 | covmat(vars, cors, tol=1e-7)
|
Arguments
vars |
a numeric vector of variances |
cors |
a numeric vector of correlations: replicated to the appropriate length if necessary |
tol |
numeric tolerance for checking positive definiteness |
Details
Creates a variance-covariance matrix with the specified variances and correlations.
Value
A square numeric matrix.
Note
Warns, but does not stop, if the matrix is non-positive-definite.
Author(s)
Ben Bolker
Examples
1 |
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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