2018
DOI: 10.1101/423780
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The R package divDyn for quantifying diversity dynamics using fossil sampling data

Abstract: 1. Unbiased time series of diversity dynamics are vital for quantifying the grand history of life. Applications include identifying ancient mass extinctions and inferring both biotic and abiotic controls on diversification rates. 2. We introduce divDyn, a new R package that facilitates the calculation of taxonomic richness, extinction and origination rates from time-binned fossil sampling data. State-of-the-art sampling completeness metrics, counting protocols, and sampling standardisation functions permit the… Show more

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Cited by 3 publications
(2 citation statements)
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“…All analyses were performed in the R statistical computing environment (R Development Core Team 2018). Analytical code for the core functions noted above is available in the R package ‘divDyn’ (Kocsis et al 2018).…”
Section: Methodsmentioning
confidence: 99%
“…All analyses were performed in the R statistical computing environment (R Development Core Team 2018). Analytical code for the core functions noted above is available in the R package ‘divDyn’ (Kocsis et al 2018).…”
Section: Methodsmentioning
confidence: 99%
“…We opted not to use subsampling methods ( 12 , 51 , 57 ) because these approaches would not be advisable for clades with few genera. However, our new method achieves similar results to subsampling procedures at the global scale across all clades.…”
Section: Methodsmentioning
confidence: 99%