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A research compendium for: “Using visual encounter data to improve capture-recapture abundance estimates”

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R 63.60% TeX 35.63% Shell 0.77%
research-compendium capture-recapture ecology statistics bayesian

secmr's Introduction

secmr

A research compendium for: “Using visual encounter data to improve capture-recapture abundance estimates”

Travis build status

Our pre-print is online here:

Joseph MB, Knapp RA, (2020). Using visual encounter data to improve capture-recapture abundance estimates. bioRxiv, Online at https://doi.org/10.1101/2020.01.22.915314

How to cite

Please cite this compendium as:

Joseph MB, Knapp RA, (2020). Compendium of R code and data for Using encounter data to improve capture-recapture abundance estimates. Accessed 22 Jan 2020. Online at https://doi.org/xxx/xxx

How to download or install

You can download the compendium as a zip from from this URL: </archive/master.zip>

Or you can install this compendium as an R package, secmr, from GitHub with:

# install.packages("remotes")
remotes::install_github("mbjoseph/secmr")

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Contributions

We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

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