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

By:  and 



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 the key elements of an analysis so they may be more confidently revisited at a later date.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title AMModels: An R package for storing models, data, and metadata to facilitate adaptive management
Series title PLoS ONE
DOI 10.1371/journal.pone.0188966
Volume 13
Issue 2
Year Published 2018
Language English
Publisher PLOS
Contributing office(s) Coop Res Unit Leetown
Description e0188966; 57
First page 1
Last page 57
Google Analytic Metrics Metrics page
Additional metadata about this publication, not found in other parts of the page is in this table