CNVRG: Dirichlet Multinomial Modeling of Relative Abundance Data
Implements Dirichlet multinomial modeling 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 modeling. For more regarding the modeling mathematics and computational techniques we use see our publication in Molecular Ecology Resources titled 'Dirichlet multinomial modeling outperforms alternatives for analysis of ecological count data' (Harrison et al. 2020 <doi:10.1111/1755-0998.13128>).
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.4.0) |
| Imports: |
methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), vegan, rstantools (≥ 2.1.1), tibble |
| 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: |
2021-09-04 |
| Author: |
Joshua Harrison 
[aut, cre],
Vivaswat Shastry
[aut],
W. John Calder
[aut],
C. Alex Buerkle
[aut] |
| Maintainer: |
Joshua Harrison <joshua.grant.harrison at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Citation: |
CNVRG citation info |
| Materials: |
README |
| CRAN checks: |
CNVRG results |
Documentation:
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