R/ARI.R
In MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

ARI <- function (x=NULL, y=NULL)
{
    x <- as.vector(x)
    y <- as.vector(y)
    
    tab <- table(x,y)
    
    ARI= classAgreement(tab)$crand
    return(ARI)
}

Any scripts or data that you put into this service are public.

MixGHD documentation built on May 2, 2019, 5:49 p.m.

rdrr.io home R language documentation Run R code online

CRAN packages Bioconductor packages R-Forge packages GitHub packages

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

MixGHD
Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

R/ARI.R
In MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

Try the MixGHD package in your browser

R Package Documentation

Browse R Packages

We want your feedback!

MixGHD Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

R/ARI.R In MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

Try the MixGHD package in your browser

R Package Documentation

Browse R Packages

We want your feedback!

MixGHD
Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

R/ARI.R
In MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions