Published July 26, 2022
| Version v1.0
Software
Open
arianecast/ExcessIceBetaRegression: Predicting excess ground ice content with a beta regression model
Contributors
Project members:
- 1. Carleton University
- 2. Northwest Territories Geological Survey
Description
This project is associated with the Arctic Science publication titled "Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)" (Castagner et al., 2022; in processing). The R code reproduces all of the analyses performed in this publication (fitting the beta regression model using geotechnical variables, bootstrapping confidence intervals, and producing base plots).
Full Changelog: https://github.com/arianecast/ExcessIceBetaRegression/commits/v1.0
Notes
We acknowledge support from the Natural Sciences and Engineering Research Council of Canada via Strategic Project #521584 and Discovery Grant #4783.
Files
arianecast/ExcessIceBetaRegression-v1.0.zip
Files
(2.3 MB)
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md5:82fc5437198b924055f9a605f740f0c0
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Additional details
Related works
- Is supplement to
- https://github.com/arianecast/ExcessIceBetaRegression/tree/v1.0 (URL)