pdcheck: Check if a matrix is positive definite
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Examples
Description
checks if the eigenvalues are positive real numbers
Usage
1
pdcheck(m, tol = 1e-06)
Arguments
m
a symmetric matrix
tol
the tolerance value determines what eigenvalues are considered
essentially zero. the default is 1e-6.
Value
a logical value
Examples
1
pdcheck(x)
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value Examples
Description
checks if the eigenvalues are positive real numbers
Usage
1 | pdcheck(m, tol = 1e-06)
|
Arguments
m |
a symmetric matrix |
tol |
the tolerance value determines what eigenvalues are considered essentially zero. the default is 1e-6. |
Value
a logical value
Examples
1 | pdcheck(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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