popbayes
:package: Bayesian Model to Estimate Animal Population Trends from Counts Series
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 4 committers (25.0%) from academic institutions -
○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (17.9%) to scientific vocabulary
Keywords
animal
bayesian
counts
population
precision
r
temporal-trend
Last synced: 6 months ago
·
JSON representation
Repository
:package: Bayesian Model to Estimate Animal Population Trends from Counts Series
Basic Info
- Host: GitHub
- Owner: FRBCesab
- License: gpl-2.0
- Language: R
- Default Branch: master
- Homepage: https://frbcesab.github.io/popbayes/
- Size: 137 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 2
- Releases: 3
Topics
animal
bayesian
counts
population
precision
r
temporal-trend
Created over 6 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/",
out.width = "100%"
)
```
popbayes
=========================================================
[](https://CRAN.R-project.org/package=popbayes/)
[](https://github.com/frbcesab/popbayes/actions/workflows/R-CMD-check.yaml)
[](https://github.com/frbcesab/popbayes/actions/workflows/pkgdown.yaml)
[](https://choosealicense.com/licenses/gpl-2.0/)
The goal of the R package `popbayes` is to infer trends of one or several
populations over time from series of counts. It does so by accounting for count
precision (provided or inferred based on expert knowledge, e.g. guesstimates),
smoothing the population rate of increase over time, and accounting for the maximum
demographic potential of species. Inference is carried out in a Bayesian framework.
This work is part of the FRB-CESAB working group
[AfroBioDrivers](https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/afrobiodrivers/).
## Installation
**Before using this package, users need to install the freeware
[JAGS](https://mcmc-jags.sourceforge.io/).**
You can install the stable version of the package from the [CRAN](https://cran.r-project.org) with:
```{r eval = FALSE}
install.packages("popbayes")
```
Alternatively you can install the development version from [GitHub](https://github.com/) with:
```{r eval = FALSE}
# install.packages("remotes")
remotes::install_github("frbcesab/popbayes", build_vignettes = TRUE)
```
## Overview

## Get started
Please read the
[Get started](https://frbcesab.github.io/popbayes/articles/popbayes.html)
vignette.
## Citation
Please cite this package as:
> Casajus N. & Pradel R. (2023) popbayes: Bayesian model to estimate population
trends from counts series. R package version 1.2.0. URL: .
You can also run:
```{r eval = FALSE}
citation("popbayes")
## A BibTeX entry for LaTeX users is:
##
## @Manual{,
## title = {{popbayes}: {B}ayesian model to estimate population trends from counts series,
## author = {{Casajus N.}, and {Pradel R.}},
## year = {2023},
## note = {R package version 1.2.0},
## url = {https://frbcesab.github.io/popbayes/},
## }
```
Owner
- Name: FRB CESAB
- Login: FRBCesab
- Kind: organization
- Location: Montpellier, FRANCE
- Website: https://www.fondationbiodiversite.fr/en/about-the-foundation/le-cesab/
- Repositories: 17
- Profile: https://github.com/FRBCesab
GitHub Events
Total
Last Year
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nicolas Casajus | n****s@g****m | 151 |
| Roger PRADEL | r****l@c****r | 28 |
| Roger PRADEL | p****l@n****r | 12 |
| olivroy | 5****y | 7 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 30
- Total pull requests: 4
- Average time to close issues: 3 months
- Average time to close pull requests: 1 day
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.4
- Average comments per pull request: 0.75
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ahasverus (19)
- parguel (11)
Pull Request Authors
- olivroy (4)
- ahasverus (2)
Top Labels
Issue Labels
enhancement (3)
documentation (2)
testing (1)
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 244 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
cran.r-project.org: popbayes
Bayesian Model to Estimate Population Trends from Counts Series
- Homepage: https://frbcesab.github.io/popbayes/
- Documentation: http://cran.r-project.org/web/packages/popbayes/popbayes.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
-
Latest release: 1.2.0
published over 2 years ago
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 43.2%
Downloads: 86.8%
Maintainers (1)
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.5 depends
- R2jags * imports
- grDevices * imports
- graphics * imports
- stats * imports
- usethis * imports
- knitr * suggests
- rmarkdown * suggests
.github/workflows/R-CMD-check.yaml
actions
- actions/checkout v2 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml
actions
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite