文章基本信息

标题：The artemis package for environmental DNA analysis in R
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作者：Matthew B. Espe ; Myfanwy Johnston ; Scott M. Blankenship 等
期刊名称：Environmental DNA
电子版ISSN：2637-4943
出版年度：2022
卷号：4
期号：3
页码：523-532
DOI：10.1002/edn3.277
语种：English
出版社：Wiley
摘要：Abstract We introduce artemis, a new package for the R statistical programming environment designed to analyze quantitative polymerase chain reaction (qPCR) data from environmental DNA studies. The artemis package directly addresses several challenges for analyzing eDNA survey data, including the censorship of data generated by qPCR analysis. The performance of artemis models is compared with commonly used regression approaches using both simulated and experimental data. We demonstrate that the models in artemis have several favorable characteristics compared with standard regression approaches, yielding more accurate estimates, less bias, and better prediction performance while offering similar ease of use. Lastly, we discuss trade‐offs and considerations for choosing the most appropriate analysis approach for eDNA survey data.