aic: Akaike Information Criterion
In tharris0924/btld: Triangular and Bimodal Triangular Linked Distributions
aic R Documentation
Akaike Information Criterion
Description
Calculate the AIC for a model.
Usage
aic(loglik, k)
Arguments
loglik
log-likelihood
k
number of paramters
Value
AIC
Examples
gmm<-mixtools::normalmixEM(runif(1000))
aic(gmm$loglik,3)
tharris0924/btld documentation built on Dec. 1, 2022, 9:37 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| aic | R Documentation |
Akaike Information Criterion
Description
Calculate the AIC for a model.
Usage
aic(loglik, k)
Arguments
loglik |
log-likelihood |
k |
number of paramters |
Value
AIC
Examples
gmm<-mixtools::normalmixEM(runif(1000)) aic(gmm$loglik,3)
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.