Package: mixR 0.2.1
Youjiao Yu
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:
mixR_0.2.1.tar.gz
mixR_0.2.1.tar.gz(r-4.5-noble)mixR_0.2.1.tar.gz(r-4.4-noble)
mixR_0.2.1.tgz(r-4.4-emscripten)mixR_0.2.1.tgz(r-4.3-emscripten)
mixR.pdf |mixR.html✨
mixR/json (API)
NEWS
| # Install 'mixR' in R: |
| install.packages('mixR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 days agofrom:bf1c997394. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 21 2024 |
| R-4.5-linux-x86_64 | OK | Oct 21 2024 |
Exports:binbs.testinitzmixfitreinstatermixgammarmixlnormrmixnormalrmixweibullselectto_k_lambda_weibullto_mu_sd_gammato_mu_sd_lnormto_mu_sd_weibullto_mulog_sdlog_lnormto_shape_rate_gamma
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr
