EPA: Yuan-2007
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Title
| Maximum Likelihood Method for Predicting Environmental Conditions from Assemblage Composition |
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Author
| Yuan, Lester L. |
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Abstract/Summary Statement
| This article provides a brief introduction to the R package bio.infer and a set of downloadable scripts that facilitate the use of maximum likelihood (ML) methods for predicting environmental conditions from assemblage composition. Environmental conditions can often be inferred from only biological data, and these inferences are useful when other sources of data are unavailable. ML prediction methods are statistically rigorous and applicable to a broader set of problems than more commonly used weighted averaging techniques. However, ML methods require a substantially greater investment of time to program algorithms and to perform computations. This software package is designed to reduce the effort required to apply ML prediction methods. |
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Table of Contents
| Sections include: Introduction The example data sets The package Concluding remarks References |
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Citation
| Yuan, Lester L., 2007, Maximum Likelihood Method for Predicting Environmental Conditions from Assemblage Composition: The R Package bio.infer. Journal of Statistical Software 22(3): 20 pp. |
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Method Source
| EPA |
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Source Organization Country
| USA |
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Publication Year
| 2007 |
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Special Notes
| There is also an associated journal article at http://www.jstatsoft.org/v22/i03/paper |
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Item Type
| Downloadable Software |
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Publication Source Type
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Government Agency (Federal, USA) |
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Purpose
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Data analysis |
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Design or Data Analysis Objectives
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Bioassays & toxicity tests |
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Complexity
| High |
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Media Emphasized
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Biological |
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Media Subcategory
| |
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Special Topics
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