R Code and Output Supporting "Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation"
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下载链接：
http://hdl.handle.net/11299/204737
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资源简介：
This repository contains data and R code (along with associated output from running the code) for fitting resource-selection functions and step-selection functions with random effects, supporting all results reported in:
Muff, S., Signer, J. and Fieberg, J., 2018. Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation. bioRxiv, p.411801.
提供机构：
Data Repository for the University of Minnesota (DRUM)
创建时间：
2019-03-01
