log_determinant: A function to calculate log of the determinant of a matrix
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
View source: R/log_determinant.R
Description
This function calculates the log (natural base) of the determinant of a matrix in order to avoid overflow
for some large determinant. The matrix has to be symmetric positive-definite in order to use the
cholesky decomposition.
Usage
1
Arguments
x
A symmetric positive-definite square matrix.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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View source: R/log_determinant.R
Description
This function calculates the log (natural base) of the determinant of a matrix in order to avoid overflow for some large determinant. The matrix has to be symmetric positive-definite in order to use the cholesky decomposition.
Usage
1 |
Arguments
x |
A symmetric positive-definite square 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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