bbousuite
A set of R packages to facilitate simulation and analysis of boreal caribou survival and recruitment data to estimate population growth.
https://github.com/poissonconsulting/bbousuite
Category: Biosphere
Sub Category: Terrestrial Wildlife
Keywords from Contributors
species-sensitivity-distribution ecotoxicology ssd water-quality-guideline
Last synced: about 8 hours ago
JSON representation
Repository metadata
Easily install and load bbou (boreal caribou) R packages
- Host: GitHub
- URL: https://github.com/poissonconsulting/bbousuite
- Owner: poissonconsulting
- License: apache-2.0
- Created: 2024-05-06T23:25:41.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-04T23:51:29.000Z (23 days ago)
- Last Synced: 2025-06-25T00:15:29.367Z (3 days ago)
- Language: TeX
- Homepage: https://poissonconsulting.github.io/bbousuite/
- Size: 20.2 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 1
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Support: .github/SUPPORT.md
README.Rmd
--- output: github_document --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", fig.width = 5, fig.height = 4 ) library(bboutools) ``` # bbousuite [](https://lifecycle.r-lib.org/articles/stages.html#experimental) [](https://github.com/poissonconsulting/bbousuite/actions/workflows/R-CMD-check.yaml) [](https://app.codecov.io/gh/poissonconsulting/bbousuite?branch=main) The goal of `bbousuite` is to make it easy to install and load the (`bbou`) suite of R packages for **B**oreal cari**BOU**. The `bbou`suite is a set of R packages to facilitate simulation and analysis of boreal caribou survival and recruitment data to estimate population growth. It consists of: - [`bboudata`](https://poissonconsulting.github.io/bboudata/), a collection of simulated and anonymized empirical survival and recruitment datasets. - [`bboutools`](https://poissonconsulting.github.io/bboutools/), a set of functions to estimate population growth in a Bayesian or Maximum Likelihood (ML) framework, implemented under the hood using the [Nimble](https://r-nimble.org) R package. - [`bboushiny`](https://poissonconsulting.github.io/bboushiny/), a Graphical User Interface (GUI) to `bboutools`. - [`bbouretro`](https://poissonconsulting.github.io/bbouretro/), a set of functions to estimate population growth using traditional frequentist methods. - [`bbousims`](https://poissonconsulting.github.io/bbousims/), a set of functions to simulate survival and recruitment data from hypothetical radio-collaring and composition surveys. Each R package has a website with function documentation and a 'Get Started' guide. If you are completely new to the `bbou` suite, we recommend taking a look at the [bboutools 'Get Started' guide](https://poissonconsulting.github.io/bboutools/articles/bboutools.html) as this demonstrates core functionality and methods. There are also several vignettes, including `bboutools` [analytical methods](https://poissonconsulting.github.io/bboutools/articles/methods.html) and [prior selection](https://poissonconsulting.github.io/bboutools/articles/priors.html), `bbouretro` [analytical methods](https://poissonconsulting.github.io/bbouretro/articles/retro-methods.html), using [`bbousims` with `bboutools`](https://poissonconsulting.github.io/bbousims/articles/bboutools.html), and comparison of Bayesian and traditional method estimates with [empirical](https://poissonconsulting.github.io/bbousuite/articles/empirical-comparisons.html) and [simulated](https://poissonconsulting.github.io/bbousuite/articles/simulations.html) data. ## Installation You can install the latest version of `bbousuite` from [GitHub](https://github.com/poissonconsulting/bbousuite) with: ``` r # install.packages("remotes") remotes::install_github("poissonconsulting/bbousuite") ``` ## Load To load `bbousuite` ```{r} library(bbousuite) ``` ### Packages The packages installed and loaded by `bbousuite` suite are: - [bboudata](https://github.com/poissonconsulting/bboudata) - [bbouretro](https://github.com/poissonconsulting/bbouretro) - [bboutools](https://github.com/poissonconsulting/bboutools) - [bbousims](https://github.com/poissonconsulting/bbousims) - [bboushiny](https://github.com/poissonconsulting/bboushiny) ## Inspiration `bbousuite` was inspired by the [`tidyverse`](https://github.com/tidyverse/tidyverse) package. ## Getting Help or Reporting an Issue To report bugs/issues/feature requests, please file an [issue](https://github.com/poissonconsulting/bbousuite/issues/). ## How to Contribute If you would like to contribute to the package, please see our [CONTRIBUTING](https://github.com/poissonconsulting/bbousuite/blob/master/.github/CONTRIBUTING.md) guidelines. ## Code of Conduct Please note that the bbou project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms. ```{r, results = "asis", echo = FALSE} cat(licensing_md()) ```
Owner metadata
- Name: Poisson Consulting Ltd.
- Login: poissonconsulting
- Email: [email protected]
- Kind: organization
- Description: Computational Biology and Statistical Ecology
- Website: http://www.poissonconsulting.ca
- Location: Nelson, BC, Canada
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/1679318?v=4
- Repositories: 68
- Last ynced at: 2023-04-08T05:01:05.886Z
- Profile URL: https://github.com/poissonconsulting
GitHub Events
Total
- Release event: 1
- Watch event: 1
- Delete event: 4
- Issue comment event: 1
- Push event: 47
- Pull request event: 9
- Create event: 4
Last Year
- Release event: 1
- Watch event: 1
- Delete event: 4
- Issue comment event: 1
- Push event: 47
- Pull request event: 9
- Create event: 4
Committers metadata
Last synced: 3 days ago
Total Commits: 139
Total Committers: 6
Avg Commits per committer: 23.167
Development Distribution Score (DDS): 0.338
Commits in past year: 110
Committers in past year: 5
Avg Commits per committer in past year: 22.0
Development Distribution Score (DDS) in past year: 0.164
Name | Commits | |
---|---|---|
Seb Dalgarno | s****b@p****a | 92 |
Joe Thorley | j****e@p****a | 20 |
Ayla Pearson | a****a@p****a | 15 |
Sarah Lyons | s****h@p****a | 6 |
Duncan Kennedy | d****n@p****a | 4 |
Nicole Hill | n****e@p****a | 2 |
Committer domains:
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 4
Total pull requests: 15
Average time to close issues: 7 days
Average time to close pull requests: 22 days
Total issue authors: 2
Total pull request authors: 5
Average comments per issue: 1.25
Average comments per pull request: 0.2
Merged pull request: 15
Bot issues: 0
Bot pull requests: 0
Past year issues: 4
Past year pull requests: 13
Past year average time to close issues: 7 days
Past year average time to close pull requests: 21 days
Past year issue authors: 2
Past year pull request authors: 4
Past year average comments per issue: 1.25
Past year average comments per pull request: 0.23
Past year merged pull request: 13
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- sebdalgarno (2)
- see24 (2)
Top Pull Request Authors
- sebdalgarno (8)
- aylapear (3)
- sarahLy9 (2)
- joethorley (1)
- nehill197 (1)
Top Issue Labels
Top Pull Request Labels
Dependencies
- actions/checkout v4 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
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- actions/checkout v4 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v4 composite
- actions/upload-artifact v4 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- bboudata * imports
- bbouretro * imports
- bboushiny * imports
- bbousims * imports
- bboutools * imports
- testthat >= 3.0.0 suggests
- actions/checkout v4 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite
Score: 2.4849066497880004