mixR: 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'.

Version: 0.1.0
Imports: ggplot2 (≥ 2.1.0), graphics, Rcpp (≥ 0.12.8), stats
LinkingTo: Rcpp
Published: 2017-02-25
Author: Youjiao Yu [aut, cre]
Maintainer: Youjiao Yu <jiaoisjiao at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mixR results

Downloads:

Reference manual: mixR.pdf
Package source: mixR_0.1.0.tar.gz
Windows binaries: r-devel: mixR_0.1.0.zip, r-release: mixR_0.1.0.zip, r-oldrel: mixR_0.1.0.zip
OS X El Capitan binaries: r-release: mixR_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: mixR_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mixR to link to this page.