is_covariance_matrix: Check covariance matrix properties
In RprobitB: Bayesian Probit Choice Modeling
is_covariance_matrix R Documentation
Check covariance matrix properties
Description
This function checks if the input is a proper covariance matrix, i.e. a
symmetric, numeric matrix with non-negative eigenvalues.
Usage
is_covariance_matrix(x)
Arguments
x
A matrix.
Value
A boolean, TRUE if x is a proper covariance matrix.
Examples
x <- diag(2)
RprobitB:::is_covariance_matrix(x)
RprobitB documentation built on Nov. 10, 2022, 5:12 p.m.
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| is_covariance_matrix | R Documentation |
Check covariance matrix properties
Description
This function checks if the input is a proper covariance matrix, i.e. a symmetric, numeric matrix with non-negative eigenvalues.
Usage
is_covariance_matrix(x)
Arguments
x |
A matrix. |
Value
A boolean, TRUE if x is a proper covariance matrix.
Examples
x <- diag(2) RprobitB:::is_covariance_matrix(x)
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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