CRAN . RSTUDIO . COM {
}
Title:
CRAN: Package corncob
Description:
Statistical modeling for correlated count data using the beta-binomial distribution, described in Martin et al. (2020) <<a href="https://doi.org/10.1214%2F19-AOAS1283" target="_top">doi:10.1214/19-AOAS1283</a>>. It allows for both mean and overdispersion covariates.
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Keywords {🔍}
corncob, corncobtgz, vgam, aut, ctb, gpl, source, corncobzip, rrelease, roldrel, reverse, count, correlated, betabinomial, martin, imports, suggests, phyloseq, amy, willis, library, introduction, code, binaries, arm, regression, observations, statistical, modeling, data, distribution, doiaoas, overdispersion, covariates, version, depends, stats, utils, numderiv, ggplot, trust, dplyr, magrittr, detectseparation, scales, rlang, knitr, rmarkdown, testthat, covr,
Topics {✒️}
/statdivlab/corncob/issues license beta-binomial distribution gz windows binaries sarah teichman [ctb] xiangjie xue [ctb] benchdamic reverse suggests daniela witten [aut] io/corncob/ needscompilation corncob results documentation correlated count data readme cran checks zip macos binaries canonical form https org/package=corncob yee [ctb] /statdivlab/corncob count regression correlated observations rlang suggests reverse imports willis [aut corncob author overdispersion covariates reference manual pdf vignettes r-devel r-release r-oldrel dar linking r-project martin [aut] vgam library phyloseq published gpl-3 [expanded package source //statdivlab corncob package vgam 32614/cran zip //cran martin imports https phyloseq gpl-2 gpl source al
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