compute_log_like: Compute Gaussian log-likelihood
In ngme2: Linear Latent Non-Gaussian Models with Flexible Distributions
compute_log_like R Documentation
Compute Gaussian log-likelihood
Description
Creates the underlying C++ block models and evaluates their Gaussian log-likelihood when applicable.
Usage
compute_log_like(ngme_model)
Arguments
ngme_model
An object created by 'ngme()'.
Value
A numeric scalar. Returns '0' if any replicate is non-Gaussian.
ngme2 documentation built on May 20, 2026, 9:10 a.m.
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| compute_log_like | R Documentation |
Compute Gaussian log-likelihood
Description
Creates the underlying C++ block models and evaluates their Gaussian log-likelihood when applicable.
Usage
compute_log_like(ngme_model)
Arguments
ngme_model |
An object created by 'ngme()'. |
Value
A numeric scalar. Returns '0' if any replicate is non-Gaussian.
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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