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mixR  

Finite Mixture Modeling for Raw and Binned Data
View on CRAN: Click here


Download and install mixR package within the R console
Install from CRAN:
install.packages("mixR")

Install from Github:
library("remotes")
install_github("cran/mixR")

Install by package version:
library("remotes")
install_version("mixR", "0.2.1")



Attach the package and use:
library("mixR")
Maintained by
Youjiao Yu
[Scholar Profile | Author Map]
First Published: 2017-02-25
Latest Update: 2021-06-01
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'.
How to cite:
Youjiao Yu (2017). mixR: Finite Mixture Modeling for Raw and Binned Data. R package version 0.2.1, https://cran.r-project.org/web/packages/mixR. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-02-25 01:06), 0.1.1 (2018-06-07 15:50), 0.2.0 (2021-06-01 17:10)
Other packages that cited mixR R package
View mixR citation profile
Other R packages that mixR depends, imports, suggests or enhances
Complete documentation for mixR
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