Package: popbayes 1.2.0.9000

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]

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popbayes/json (API)
NEWS

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

Peer review:

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

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:

animalbayesiancountspopulationprecisiontemporal-trend

4.30 score 1 stars 191 downloads 12 exports 15 dependencies

Last updated 10 months agofrom:39fd83a9c2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:bugs_to_dfdiagnosticfilter_seriesfit_trendformat_datalist_seriesplot_seriesplot_trendread_bugsread_seriesseries_to_dfw_to_rmax

Dependencies:abindbootclicodagluelatticelifecyclemagrittrR2jagsR2WinBUGSrjagsrlangstringistringrvctrs

Get species information

Rendered fromgenerate_data.Rmdusingknitr::rmarkdownon Nov 11 2024.

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

Get started

Rendered frompopbayes.rmdusingknitr::rmarkdownon Nov 11 2024.

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