Finite Mixture Modeling for Raw and Binned Data

Performs maximum likelihood estimation for finite mixture models for families including Normal, Weibull, Gamma and Lognormal by using EM algorithm, together with Newton-Raphson algorithm or bisection method when necessary. It also conducts mixture model selection by using information criteria or bootstrap likelihood ratio test. The data used for mixture model fitting can be raw data or binned data. The model fitting process is accelerated by using R package 'Rcpp'.


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install.packages("mixR")

0.1.0 by Youjiao Yu, 7 months ago


Browse source code at https://github.com/cran/mixR


Authors: Youjiao Yu [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, graphics, Rcpp, stats

Linking to Rcpp


See at CRAN