Package: popbayes 1.3

Nicolas Casajus

popbayes: Bayesian Model to Estimate Population Trends from Counts Series

Infers the trends of one or several animal 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/>.

Authors:Nicolas Casajus [aut, cre, cph], Roger Pradel [aut]

popbayes_1.3.tar.gz
popbayes_1.3.zip(r-4.7)popbayes_1.3.zip(r-4.6)popbayes_1.3.zip(r-4.5)
popbayes_1.3.tgz(r-4.6-any)popbayes_1.3.tgz(r-4.5-any)
popbayes_1.3.tar.gz(r-4.7-any)popbayes_1.3.tar.gz(r-4.6-any)
popbayes_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
popbayes/json (API)

# Install 'popbayes' in R:
install.packages('popbayes', repos = c('https://frbcesab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/frbcesab/popbayes/issues

Pkgdown/docs site:https://frbcesab.github.io

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • garamba - African mammals survey in the Garamba National Park
  • species_info - Species information dataset

On CRAN:

Conda:

animalbayesiancountspopulationprecisiontemporal-trendjagscpp

4.30 score 1 stars 2 scripts 460 downloads 12 exports 15 dependencies

Last updated from:ab98f6510b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK173
linux-release-x86_64OK113
macos-release-arm64OK98
macos-oldrel-arm64OK122
windows-develOK76
windows-releaseOK76
windows-oldrelOK72
wasm-releaseOK103

Exports:bugs_to_dfdiagnosticfilter_seriesfit_trendformat_datalist_seriesplot_seriesplot_trendread_bugsread_seriesseries_to_dfw_to_rmax

Dependencies:abindbootclicodagluelatticelifecyclemagrittrR2jagsR2WinBUGSrjagsrlangstringistringrvctrs

Get started
Statistical method | Field method | Count conversion | Relative rate of increase | Checking data | Formatting data | Fitting trend | References

Last update: 2023-06-15
Started: 2019-10-30

Get species information
Calculating rmax | Building conversion table | Categorizing species | References

Last update: 2021-10-29
Started: 2021-05-16