mixR: An R package for Finite Mixture Modeling for Both Raw and Binned Data

Abstract

R (R Core Team, 2020) provides a rich collection of packages for building and analyzing finite mixture models, which are widely used in unsupervised learning, such as model-based clustering and density estimation. For example, mclust To our knowledge, almost all R packages for finite mixture models are designed to use raw data as the modeling input except mixdist. However, the popular model selection methods based on information criteria or bootstrapping likelihood ratio test (bLRT) To bridge this gap and to unify the interface for finite mixture modeling for both raw and binned data, we implement mixR package that provides the following primary features.

Topics & Concepts