gdeterminant: Generalized matrix determinant
In TheoMichelot/hmmTMB: Fit Hidden Markov Models using Template Model Builder
gdeterminant R Documentation
Generalized matrix determinant
Description
Generalized determinant = product of non-zero eigenvalues
(see e.g., Wood 2017). Used for (log)determinant of penalty matrices,
required in log-likelihood function.
Usage
gdeterminant(x, eps = 1e-10, log = TRUE)
Arguments
x
Numeric matrix
eps
Threshold below which eigenvalues are ignored (default: 1e-10)
log
Logical: should the log-determinant be returned?
Value
Generalized determinant of input matrix
TheoMichelot/hmmTMB documentation built on Dec. 13, 2024, 11:52 a.m.
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| gdeterminant | R Documentation |
Generalized matrix determinant
Description
Generalized determinant = product of non-zero eigenvalues (see e.g., Wood 2017). Used for (log)determinant of penalty matrices, required in log-likelihood function.
Usage
gdeterminant(x, eps = 1e-10, log = TRUE)
Arguments
x |
Numeric matrix |
eps |
Threshold below which eigenvalues are ignored (default: 1e-10) |
log |
Logical: should the log-determinant be returned? |
Value
Generalized determinant of input 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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