Rmixmod: A MIXture MODelling R package
Résumé
Due to its interpretabilities, the model-based clustering approach for fitting a mixture model of multivariate gaussian or multinomial components to a given data set, is an increasing prefered tool. Mixmod is a well established software able to perform in a fast and efficient way this task. It is written in C++ and the core library have been interfaced with scilab and matlab. It lacks an interface with the R program.
The Rmixmod package provide a bridge between the core library of Mixmod and the R statistical computing environment. Both clustering analysis and discriminant analysis can be performed using Rmixmod. Rmixmod is dealing with multivariate Gaussian mixture models for quantitative data and multivariate multinomial mixture models for qualitative data.
Origine : Fichiers produits par l'(les) auteur(s)
Commentaire : Présentation
Commentaire : Présentation