The goal of bbousuite is to make it easy to install and load the
(bbou) suite of R packages for Boreal cariBOU.
The bbousuite 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, a collection of simulated and anonymized empirical survival and recruitment datasets.bboutools, a set of functions to estimate population growth in a Bayesian or Maximum Likelihood (ML) framework, implemented under the hood using the Nimble R package.bboushiny, a Graphical User Interface (GUI) tobboutools.bbouretro, a set of functions to estimate population growth using traditional frequentist methods.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
as this demonstrates core functionality and methods.
There are also several vignettes, including bboutools analytical
methods
and prior
selection,
bbouretro analytical
methods,
using bbousims with
bboutools,
and comparison of Bayesian and traditional method estimates with
empirical
and
simulated
data.
You can install the latest version of bbousuite from
GitHub with:
# install.packages("remotes")
remotes::install_github("poissonconsulting/bbousuite")To load bbousuite
library(bbousuite)
#> Attaching: bboudata bbouretro bboushiny bbousims bboutools bbousuite
#>
#> Attaching package: 'bbousuite'
#> The following object is masked from 'package:bboutools':
#>
#> licensing_mdThe packages installed and loaded by bbousuite suite are:
bbousuite was inspired by the
tidyverse package.
To report bugs/issues/feature requests, please file an issue.
If you would like to contribute to the package, please see our CONTRIBUTING guidelines.
Please note that the bbou project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Copyright 2022-2023 Environment and Climate Change Canada
Copyright 2023-2024 Province of Alberta
The documentation is released under the CC BY 4.0 License
The code is released under the Apache License 2.0