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Regularization of sporadic detection data with tests for associated bias and uncertainty

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mebowers5/sporeg

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sporeg

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The goal of sporeg is to reconstruct passive telemetry tracks using movement models and measure the accuracy of the reconstructions. This provides information on the reliability of ecological conclusions such as population distribution.

Installation

Sporeg requires R version >= 4.3.2. You can install the development version of sporeg like so:

To install sporeg, first install the remotes package

install.packages("remotes")
library(remotes)

The latest version of sporeg can be installed from GitHub using the following code:

remotes::install_github('mebowers5/sporeg', build_vignettes = TRUE, dependencies = TRUE)

Step-by-step guide

The vignette(s) for this package can be accessed via the following code:

browseVignettes(package = "sporeg")

Have a suggestion? Found a bug?

For any suggestions or problems, please create a new issue on the sporeg GitHub page (https://github.com/mebowers5/sporeg/issues).

You don't have any experience documenting issues on GitHub? No problem! Start here: https://docs.github.com/en/issues/tracking-your-work-with-issues/quickstart.

Acknowledgements

The creation of this package was made possible by the helpful, supportive hosts and attendees of Ocean Tracking Network Study Hall, particularly Mike O'Brien, Ben Hlina, Jon Pye, and Sarah Popova. In addition, I thank Josh London for help with pathroutr code and encouragement. I also thank Brian J. Smith for introducing me to the world of movement modeling and for all his help and encouragement early on.

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Regularization of sporadic detection data with tests for associated bias and uncertainty

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