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: 7.1.2
NeedsCompilation: yes
Author: Youjiao Yu [aut, cre]
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), mockery
VignetteBuilder: knitr
Config/testthat/edition: 3
Repository: https://garybaylor.r-universe.dev
Date/Publication: 2024-10-14 18:19:39 UTC
RemoteUrl: https://github.com/garybaylor/mixr
RemoteRef: HEAD
RemoteSha: 1b9e67228c7fc5154ce3f4f02e4da7dad3edb282
Packaged: 2026-10-09 09:37:06 UTC; root