CRAN . RSTUDIO . COM {
}
Title:
CRAN: Package ddtlcm
Description:
Implements a Bayesian algorithm for overcoming weak separation in Bayesian latent class analysis. Reference: Li et al. (2023) <<a href="https://doi.org/10.48550/arXiv.2306.04700" target="_top">doi:10.48550/arXiv.2306.04700</a>>.
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Keywords {🔍}
ddtlcm, ddtlcmtgz, latent, class, bayesian, mengbing, ddtlcmzip, rrelease, roldrel, analysis, reference, ctb, license, vignettes, package, binaries, arm, dirichlet, diffusion, tree, process, prior, implements, algorithm, overcoming, weak, separation, doiarxiv, version, depends, imports, ape, datatable, extradistr, ggplot, ggpubr, ggtext, ggtree, labelswitching, matrixstats, methods, phylobase, polca, testthat, truncnorm, bayeslogit, matrix, rdpack, rutils, suggests,
Topics {✒️}
readme news cran checks /limengbinggz/ddtlcm/issues license latent class analysis briana stephenson [ctb] overcoming weak separation gz windows binaries /limengbinggz/ddtlcm needscompilation ddtlcm results documentation ddtlcm archive linking zip macos binaries canonical form https org/package=ddtlcm bayesian algorithm ddtlcm author xfun published r-devel r-release r-oldrel r-project package source reference manual pdf vignettes ddtlcm li 32614/cran //cran package https zip reference vignettes al 48550/arxiv version 1 depends imports ape data table extradistr ggplot2 ggpubr ggtext ggtree label switching matrixstats methods phylobase polca
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