
STATDIVLAB . GITHUB . IO {
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Title:
Count Regression for Correlated Observations with the Beta-Binomial • corncob
Description:
Statistical modeling for correlated count data using the beta-binomial distribution, described in Martin et al. (2020) <doi:10.1214/19-AOAS1283>. It allows for both mean and overdispersion covariates.
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12 years and 3 months (reg. 2013-03-08).
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Keywords {🔍}
corncob, vignette, phyloseq, code, objects, file, view, html, names, bryan, martin, daniela, witten, amy, willis, bug, author, regression, betabinomial, package, modeling, relative, abundance, developed, microbial, abundances, sequencing, version, librarycorncob, docker, analysis, issue, request, numbers, taxa, documentation, pkgdown, citation, change, skip, contents, reference, articles, count, correlated, observations, testing, hypotheses, effect, covariates,
Topics {✒️}
io/fhcrc-microbiome/corncob pre-compiled docker image modeling microbial abundances beta-binomial regression large string starting pre-built versions open-access preprint bug license gpl beta-binomial corncob modeling relative abundance daniela witten willis author relative abundance genome sequencing specifically developed change request site built corncob html contents corncob 0 corncob methodology statdivlab/corncob installing corncob correlated observations testing hypotheses local system vignettes demonstrate main functions variable names taxa names applied statistics phyloseq objects development version pkgdown website function documentation corncob package links view citation martin amy bug docker code html bryan corncob file phyloseq request documentation version
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