STate space Adult Dam Escapement Model
The primary goal of this project is to estimate total adult escapement of spring/summer Chinook salmon and steelhead that cross Lower Granite dam (LGD). In addition, to meet desired management and research objectives, total escapement has to include estimates of uncertainty and be parsed into weekly strata by three origin groups; wild, hatchery and hatchery no-clip. To reach this goal, we have developed the STate space Adult Dam Escapement Model (STADEM) model that incorporates fish ladder window counts, data from sampled fish at the LGD adult trap, and observations of previously PIT tagged fish at LGD adult detection sites.
This package contains functions to query and summarise the necessary data to fit a STADEM model, as well as write the JAGS model and run it using the jagsUI package in R. Some of the functions can be applied to other dams, and we are actively working to be able to run STADEM at locations other than Lower Granite Dam.
Further details about STADEM can be found in our published paper:
See, K.E., R.N. Kinzer and M.W. Ackerman (2021). State-Space Model to Estimate Salmon Escapement Using Multiple Data Sources. North American Journal of Fisheries Management https://doi.org/10.1002/nafm.10649
STADEM requires several packages that are available through the
tidyverse package. You can install all the necessary packages by
install.packages("tidyverse", "rjags", "jagsUI")
STADEM compendium can be downloaded as a zip from from this URL:
Or the user can install the compendium as an R package from GitHub by
using Hadley Wickham’s
# install and load remotes, if necessary install.packages("devtools") devtools::install_github("BiomarkABS/STADEM", build_vignettes = TRUE)
devtools may require the downloading and installation of Rtools. The
latest version of Rtools can be found
For the latest development version:
STADEM requires the JAGS software (Just Another Gibbs Sampler). This can be downloaded here:
Please download version >= 4.0.0
Further instructions on how to use STADEM can be found in the package
vignette, accessed by typing
browseVignettes(package = 'STADEM')
STADEM is a collaborative project, with the primary contributors being:
Text and figures : CC-BY-4.0
Code : See the DESCRIPTION file
Data : CC-0 attribution requested in reuse
We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.