logdet: Returns the log determinant for a symmetric positive definite...
In spatial.gev.bma: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
Description
Usage
Arguments
Value
Author(s)
Description
This internal function returns the log determinant of a positive
definite matrix by using the trace of a the Cholesky trick. Its way
faster than what you find in base.
Usage
1
logdet(A)
Arguments
A
A symmetric positive definite matrix.
Value
A scalar giving the log determinant of A
Author(s)
Alex Lenkoski <alex@nr.no>
spatial.gev.bma documentation built on May 1, 2019, 6:34 p.m.
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Description Usage Arguments Value Author(s)
Description
This internal function returns the log determinant of a positive definite matrix by using the trace of a the Cholesky trick. Its way faster than what you find in base.
Usage
1 | logdet(A)
|
Arguments
A |
A symmetric positive definite matrix. |
Value
A scalar giving the log determinant of A
Author(s)
Alex Lenkoski <alex@nr.no>
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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