mhayes1/UPart: Ungulate Parturition Modeling and Predicting

This package leverages ungulate movement data to model and predict time and day of parturition. This is done using machine learning algorithms and simple movement statistics. These methods have been tested and verified only on ungulate (mule deer, elk and moose). As a courtesy, several functions that automate downloading data from common ungulate collar company websites are also included.

Getting started

Package details

AuthorMatthew M. Hayes
MaintainerMatthew M. Hayes <[email protected]>
LicenseGPL-3
Version0.3.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("mhayes1/UPart")
mhayes1/UPart documentation built on May 10, 2019, 8:28 a.m.