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'.
- Version0.2.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/20/2024
Documentation
Team
Youjiao Yu
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- Imports2 packages
- Suggests3 packages
- Linking To1 package
- Reverse Imports1 package