ecodive: Parallel and Memory-Efficient R Package for Ecological Diversity Analysis

R Submitted 22 September 2025Published 29 May 2026
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Authors

Daniel P. Smith (0000-0002-2479-2044), Sara J Javornik Cregeen (0009-0000-2698-6478), Joseph F. Petrosino (0000-0002-4046-6898)

Citation

Smith et al., (2026). ecodive: Parallel and Memory-Efficient R Package for Ecological Diversity Analysis. Journal of Open Source Software, 11(121), 9777, https://doi.org/10.21105/joss.09777

@article{Smith2026, doi = {10.21105/joss.09777}, url = {https://doi.org/10.21105/joss.09777}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {121}, pages = {9777}, author = {Smith, Daniel P. and Cregeen, Sara J Javornik and Petrosino, Joseph F.}, title = {ecodive: Parallel and Memory-Efficient R Package for Ecological Diversity Analysis}, journal = {Journal of Open Source Software} }
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ecology bioinformatics microbiome diversity high-performance computing

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ISSN 2475-9066