International audienceMixmod is a well-established software package for fitting a mixture model of multivariate Gaussian or multinomial probability distribution functions to a given data set with either a clustering, a density estimation or a discriminant analysis purpose. The Rmixmod S4 package provides a bridge between the C++ core library of Mixmod (mixmodLib) and the R statistical computing environment. In this article, we give an overview of the model-based clustering and classification methods, and we show how the R package Rmixmod can be used for clustering and discriminant analysis
R package mixAK originally implemented routines primarily for Bayesian estimation of finite normal m...
We introduce the R package ContaminatedMixt, conceived to disseminate the use of mixtures of multiva...
This introduction to the R package depmixS4 is a (slightly) modified version of Visser and Speekenbr...
International audienceMixmod is a well-established software package for fitting a mixture model of m...
Mixmod is a well-established software package for fitting mixture models of multivariate Gaussian or...
Mixmod is a well-established software package for fitting a mixture model of multi-variate Gaussian ...
International audienceDue to its interpretabilities, the model-based clustering approach for fitting...
International audienceThe Mixture Modeling (MIXMOD) program fits mixture models to a given data set ...
• Mixmod is a software for modelling quantitative/qualitative data written in C++ (www.mixmod.org) •...
The MIXMOD (MIXture MODeling) program fits mixture models to a given data set for the purposes of de...
International audienceLes modèles de mélanges offrent un cadre probabiliste flexible et efficace pou...
Due to recent advances in methods and software for model-based clustering, and to the interpretabili...
The R package MixSim is a new tool that allows simulating mixtures of Gaussian distributions with di...
R package mixAK originally implemented routines primarily for Bayesian estimation of finite normal m...
We introduce the R package ContaminatedMixt, conceived to disseminate the use of mixtures of multiva...
This introduction to the R package depmixS4 is a (slightly) modified version of Visser and Speekenbr...
International audienceMixmod is a well-established software package for fitting a mixture model of m...
Mixmod is a well-established software package for fitting mixture models of multivariate Gaussian or...
Mixmod is a well-established software package for fitting a mixture model of multi-variate Gaussian ...
International audienceDue to its interpretabilities, the model-based clustering approach for fitting...
International audienceThe Mixture Modeling (MIXMOD) program fits mixture models to a given data set ...
• Mixmod is a software for modelling quantitative/qualitative data written in C++ (www.mixmod.org) •...
The MIXMOD (MIXture MODeling) program fits mixture models to a given data set for the purposes of de...
International audienceLes modèles de mélanges offrent un cadre probabiliste flexible et efficace pou...
Due to recent advances in methods and software for model-based clustering, and to the interpretabili...
The R package MixSim is a new tool that allows simulating mixtures of Gaussian distributions with di...
R package mixAK originally implemented routines primarily for Bayesian estimation of finite normal m...
We introduce the R package ContaminatedMixt, conceived to disseminate the use of mixtures of multiva...
This introduction to the R package depmixS4 is a (slightly) modified version of Visser and Speekenbr...