AMModels: An R package for storing models, data, and metadata to facilitate adaptive management

PloS One
Therese M Donovan, Jonathan E Katz

Abstract

Agencies are increasingly called upon to implement their natural resource management programs within an adaptive management (AM) framework. This article provides the background and motivation for the R package, AMModels. AMModels was developed under R version 3.2.2. The overall goal of AMModels is simple: To codify knowledge in the form of models and to store it, along with models generated from numerous analyses and datasets that may come our way, so that it can be used or recalled in the future. AMModels facilitates this process by storing all models and datasets in a single object that can be saved to an .RData file and routinely augmented to track changes in knowledge through time. Through this process, AMModels allows the capture, development, sharing, and use of knowledge that may help organizations achieve their mission. While AMModels was designed to facilitate adaptive management, its utility is far more general. Many R packages exist for creating and summarizing models, but to our knowledge, AMModels is the only package dedicated not to the mechanics of analysis but to organizing analysis inputs, analysis outputs, and preserving descriptive metadata. We anticipate that this package will assist users hoping to preserve...Continue Reading

References

Jan 9, 2007·Ecological Applications : a Publication of the Ecological Society of America·R GregoryJ Arvai
Oct 22, 2010·Journal of Environmental Management·Sarah E RehmeCraig R Allen
Oct 26, 2010·Journal of Environmental Management·Joseph J Fontaine
Nov 16, 2010·Journal of Environmental Management·Byron K Williams
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Aug 27, 2015·Conservation Biology : the Journal of the Society for Conservation Biology·Robert L Fischman, J B Ruhl

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Citations

Jan 22, 2019·Ecological Applications : a Publication of the Ecological Society of America·Cathleen Balantic, Therese Donovan

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Software Mentioned

chorusFrogLibrary
AM
rda
suppressPackageStartupMessages
AM Model Library
shiny
amModel
R package
grepAMModelLib
rjags

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