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popbayes  

Bayesian Model to Estimate Population Trends from Counts Series
View on CRAN: Click here


Download and install popbayes package within the R console
Install from CRAN:
install.packages("popbayes")

Install from Github:
library("remotes")
install_github("cran/popbayes")

Install by package version:
library("remotes")
install_version("popbayes", "1.2.0")



Attach the package and use:
library("popbayes")
Maintained by
Nicolas Casajus
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-05
Latest Update: 2023-06-15
Description:
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 .
How to cite:
Nicolas Casajus (2021). popbayes: Bayesian Model to Estimate Population Trends from Counts Series. R package version 1.2.0, https://cran.r-project.org/web/packages/popbayes. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2021-11-05 09:10), 1.1 (2022-03-04 17:10)
Other packages that cited popbayes R package
View popbayes citation profile
Other R packages that popbayes depends, imports, suggests or enhances
Complete documentation for popbayes
Functions, R codes and Examples using the popbayes R package
Some associated functions: bugs_to_df . diagnostic . filter_series . fit_trend . format_data . garamba . list_series . plot_series . plot_trend . popbayes-package . read_bugs . read_series . series_to_df . species_info . w_to_rmax . 
Some associated R codes: bugs-funs.R . datasets.R . format-funs.R . plot-funs.R . popbayes-package.R . series-funs.R . utils.R .  Full popbayes package functions and examples
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