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CNVRG  

Dirichlet Multinomial Modeling of Relative Abundance Data
View on CRAN: Click here


Download and install CNVRG package within the R console
Install from CRAN:
install.packages("CNVRG")

Install from Github:
library("remotes")
install_github("cran/CNVRG")

Install by package version:
library("remotes")
install_version("CNVRG", "1.0.0")



Attach the package and use:
library("CNVRG")
Maintained by
Joshua Harrison
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-16
Latest Update: 2021-09-04
Description:
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 ).
How to cite:
Joshua Harrison (2020). CNVRG: Dirichlet Multinomial Modeling of Relative Abundance Data. R package version 1.0.0, https://cran.r-project.org/web/packages/CNVRG. Accessed 09 Mar. 2026.
Previous versions and publish date:
0.1 (2020-09-16 11:40), 0.2 (2020-11-21 16:10)
Other packages that cited CNVRG R package
View CNVRG citation profile
Other R packages that CNVRG depends, imports, suggests or enhances
Complete documentation for CNVRG
Functions, R codes and Examples using the CNVRG R package
Some associated functions: CNVRG-package . cnvrg_HMC . cnvrg_VI . diff_abund . diversity_calc . extract_pi_quantiles . extract_point_estimate . fungi . indexer . isd_transform . 
Some associated R codes: CNVRG-package.R . convrg_func.R . data.R . stanmodels.R .  Full CNVRG package functions and examples
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