Package: mixR
Type: Package
Title: Finite Mixture Modeling for Raw and Binned Data
Version: 0.2.0
Date: 2021-05-06
Authors@R: person("Youjiao", "Yu", email = "jiaoisjiao@gmail.com",
                  role = c("aut", "cre"))
Maintainer: Youjiao Yu <jiaoisjiao@gmail.com>
Description: 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'.
License: GPL (>= 2)
LazyData: TRUE
Depends: R(>= 3.5.0)
Imports: ggplot2 (>= 3.3.3), graphics, Rcpp (>= 1.0.6), stats
LinkingTo: Rcpp
RoxygenNote: 7.1.1
NeedsCompilation: yes
Author: Youjiao Yu [aut, cre]
Repository: CRAN
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), mockery
VignetteBuilder: knitr
Config/testthat/edition: 3
Packaged: 2021-06-01 14:39:24 UTC; xiaozhen
Date/Publication: 2021-06-01 15:10:02 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2021-06-02 11:35:37 UTC; unix
Archs: mixR.so.dSYM
