gdeterminant: Computes generalised determinant
In LaMa: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
View source: R/helper_functions.R
gdeterminant R Documentation
Computes generalised determinant
Description
Computes generalised determinant
Usage
gdeterminant(x, eps = NULL, log = TRUE)
Arguments
x
square matrix
eps
eigenvalues smaller than this will be treated as zero
log
logical. If TRUE, the log-determinant is returned. If FALSE, the determinant is returned.
Value
generalised log-determinant of x
LaMa documentation built on June 8, 2025, 1:53 p.m.
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.
View source: R/helper_functions.R
| gdeterminant | R Documentation |
Computes generalised determinant
Description
Computes generalised determinant
Usage
gdeterminant(x, eps = NULL, log = TRUE)
Arguments
x |
square matrix |
eps |
eigenvalues smaller than this will be treated as zero |
log |
logical. If |
Value
generalised log-determinant of 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.