دورية أكاديمية
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Introducing zoid: A mixture model and R package for modeling proportional data with zeros and ones in ecology.

التفاصيل البيبلوغرافية
العنوان: Introducing zoid: A mixture model and R package for modeling proportional data with zeros and ones in ecology.
المؤلفون: Jensen AJ; School of Marine and Environmental Affairs, University of Washington, Seattle, Washington, USA., Kelly RP; School of Marine and Environmental Affairs, University of Washington, Seattle, Washington, USA., Anderson EC; Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic & Atmospheric Administration, Santa Cruz, California, USA., Satterthwaite WH; Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic & Atmospheric Administration, Santa Cruz, California, USA., Shelton AO; Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA., Ward EJ; Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.
المصدر: Ecology [Ecology] 2022 Nov; Vol. 103 (11), pp. e3804. Date of Electronic Publication: 2022 Aug 17.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Ecological Society of America Country of Publication: United States NLM ID: 0043541 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-9170 (Electronic) Linking ISSN: 00129658 NLM ISO Abbreviation: Ecology Subsets: MEDLINE
أسماء مطبوعة: Publication: Washington, DC : Ecological Society of America
Original Publication: Brooklyn, NY : Brooklyn Botanical Garden
مواضيع طبية MeSH: Models, Statistical* , Software*, Animals ; Fisheries ; Research Design ; Salmon
مستخلص: Many ecological data sets are proportional, representing mixtures of constituent elements such as species, populations, or strains. Analyses of proportional data are challenged by categories with zero observations (zeros), all observations (ones), and overdispersion. In lieu of ad hoc data adjustments, we describe and evaluate a zero-and-one inflated Dirichlet regression model, with its corresponding R package (zoid), capable of handling observed data x $$ x $$ consisting of three possible categories: zeros, proportions, or ones. Instead of fitting the model to observations of single biological units (e.g., individual organisms) within a sample, we sum proportional contributions across units and estimate mixture proportions using one aggregated observation per sample. Optional estimation of overdispersion and covariate influences expand model applications. We evaluate model performance, as implemented in Stan, using simulations and two ecological case studies. We show that zoid successfully estimates mixture proportions using simulated data with varying sample sizes and is robust to overdispersion and covariate structure. In empirical case studies, we estimate the composition of a mixed-stock Chinook salmon (Oncorhynchus tshawytscha) fishery and analyze the stomach contents of Atlantic cod (Gadus morhua). Our implementation of the model as an R package facilitates its application to varied ecological data sets composed of proportional observations.
(© 2022 The Ecological Society of America.)
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فهرسة مساهمة: Keywords: diet composition; mixed-stock fishery; mixture model; overdispersion; proportional data; zero-and-one inflated Dirichlet regression
تواريخ الأحداث: Date Created: 20220709 Date Completed: 20221107 Latest Revision: 20221215
رمز التحديث: 20221216
DOI: 10.1002/ecy.3804
PMID: 35804486
قاعدة البيانات: MEDLINE
الوصف
تدمد:1939-9170
DOI:10.1002/ecy.3804