aic: Akaike Information Criterion (AIC)
In MixtureFitting: Fitting of Univariate Mixture Distributions to Data using Various Approaches
View source: R/MixtureFitting.R
aic R Documentation
Akaike Information Criterion (AIC)
Description
Calculates Bayesian Information Criterion (AIC) for any type of mixture model.
Log-likelihood function has to be provided.
Usage
aic( x, p, llf )
Arguments
x
data vector
p
vector of mixture model parameters
llf
function calculating log-likelihood, called as llf( x, p )
Value
Akaike Information Criterion value.
Author(s)
Andrius Merkys
MixtureFitting documentation built on May 18, 2026, 5:07 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/MixtureFitting.R
| aic | R Documentation |
Akaike Information Criterion (AIC)
Description
Calculates Bayesian Information Criterion (AIC) for any type of mixture model. Log-likelihood function has to be provided.
Usage
aic( x, p, llf )
Arguments
x |
data vector |
p |
vector of mixture model parameters |
llf |
function calculating log-likelihood, called as llf( x, p ) |
Value
Akaike Information Criterion value.
Author(s)
Andrius Merkys
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.