Package: mixR 0.2.0

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'.

Authors:Youjiao Yu [aut, cre]

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mixR.pdf |mixR.html✨
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NEWS

Peer review:

Bug tracker:https://github.com/garybaylor/mixr/issues

On CRAN:

16 exports 8 stars 1.99 score 29 dependencies 1 dependents 2 mentions 91 scripts 816 downloads

Last updated 1 years agofrom:5535e17477. Checks:ERROR: 1 WARNING: 8. Indexed: yes.

Exports:binbs.testinitzmixfitreinstatermixgammarmixlnormrmixnormalrmixweibullselectto_k_lambda_weibullto_mu_sd_gammato_mu_sd_lnormto_mu_sd_weibullto_mulog_sdlog_lnormto_shape_rate_gamma

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr