Simulations to understand and validate models
December 6, 2022
This software release contains one R script file that allows the user to download data and reproduce all of the figures and analyses associated with DiRenzo et al. In the R script, we provide a guide to understanding and validating complex models using data simulations. In an effort to facilitate the implementation of these methods, we provide a running example throughout DiRenzo et al. 2022 with fully reproducible code in R and Nimble (this code). This running example takes advantage of a common hierarchical model in ecology- the occupancy model- in which the ecological process is decomposed from the sampling process.
Citation Information
Publication Year | 2022 |
---|---|
Title | Simulations to understand and validate models |
DOI | 10.5066/P99B0IJ7 |
Authors | Graziella V Direnzo, David A.W. Miller, Ephraim Hanks |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Cooperative Research Units Program |
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A practical guide to understanding and validating complex models using data simulations
Biologists routinely fit novel and complex statistical models to push the limits of our understanding. Examples include, but are not limited to, flexible Bayesian approaches (e.g. BUGS, stan), frequentist and likelihood-based approaches (e.g. packages lme4) and machine learning methods.These software and programs afford the user greater control and flexibility in tailoring complex...
Authors
Graziella Vittoria DiRenzo, Ephraim Hanks, David A. W. Miller
Related
A practical guide to understanding and validating complex models using data simulations
Biologists routinely fit novel and complex statistical models to push the limits of our understanding. Examples include, but are not limited to, flexible Bayesian approaches (e.g. BUGS, stan), frequentist and likelihood-based approaches (e.g. packages lme4) and machine learning methods.These software and programs afford the user greater control and flexibility in tailoring complex...
Authors
Graziella Vittoria DiRenzo, Ephraim Hanks, David A. W. Miller