https://github.com/blue-matter/msa
MSA model: Multi-stock Assessment with Regional Spatiotemporal dynamics
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.5%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
MSA model: Multi-stock Assessment with Regional Spatiotemporal dynamics
Basic Info
- Host: GitHub
- Owner: Blue-Matter
- License: gpl-3.0
- Language: R
- Default Branch: master
- Homepage: https://blue-matter.github.io/MSA/
- Size: 10.3 MB
Statistics
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 5
- Releases: 0
Created about 3 years ago
· Last pushed 10 months ago
Metadata Files
Readme
Changelog
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# MSA
> Multi-stock assessment with RTMB
[](https://github.com/Blue-Matter/MSA/actions/workflows/R-CMD-check.yaml)
MSA (**Multi-stock Assessment with Regional Spatiotemporal dynamics**) is a multi-stock, spatially-explicit age-structured model.
With explicit seasonal stock availability and movement, MSA is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, i.e., from catch and age/length composition.
Models can also be fitted to genetic data, e.g., stock composition of catches and close-kin pairs.
Funding for development of MSA is provided by the NOAA Fisheries Bluefin Tuna Research Program ([BTRP](https://www.fisheries.noaa.gov/grant/bluefin-tuna-research-program) Grants NA23NMF4720184 and NA24NMFX472C0008-T1-01) in collaboration with the Ocean Foundation.
Atlantic bluefin tuna (*Thunnus thynnus*) is the first intended case study.
## Installation
You can install the R package from GitHub with:
```{r, eval = FALSE}
# install.packages("remotes")
remotes::install_github("Blue-Matter/MSA")
```
Owner
- Name: Blue Matter Science
- Login: Blue-Matter
- Kind: organization
- Location: Vancouver, Canada
- Website: https://www.bluematterscience.com/
- Repositories: 8
- Profile: https://github.com/Blue-Matter
GitHub Events
Total
- Delete event: 1
- Push event: 3
- Create event: 1
Last Year
- Delete event: 1
- Push event: 3
- Create event: 1