CNVRG: Dirichlet-Multinomial Modelling of Relative Abundance Data

Implements Dirichlet multinomial modelling of relative abundance data using functionality provided by the 'Stan' software. The purpose of this package is to provide a user friendly way to interface with 'Stan' that is suitable for those new to modelling. For more regarding the modelling mathematics and computational techniques we use see our publication in Molecular Ecology Resources titled "Dirichlet multinomial modelling outperforms alternatives for analysis of ecological count data" (Harrison et al. 2020 <doi:10.1111/1755-0998.13128>).

Version: 0.1
Depends: R (≥ 3.4.0)
Imports: methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), vegan
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Published: 2020-09-16
Author: Joshua Harrison ORCID iD [aut, cre], Vivaswat Shastry ORCID iD [aut], W. John Calder ORCID iD [aut], C. Alex Buerkle ORCID iD [aut]
Maintainer: Joshua Harrison <joshua.grant.harrison at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: CNVRG results

Downloads:

Reference manual: CNVRG.pdf
Package source: CNVRG_0.1.tar.gz
Windows binaries: r-devel: CNVRG_0.1.zip, r-release: CNVRG_0.1.zip, r-oldrel: CNVRG_0.1.zip
macOS binaries: r-release: CNVRG_0.1.tgz, r-oldrel: not available

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