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"

Muff, StefanieSigner, JohannesFieberg, John R2021-12-142019-07-222021-12-142019-07-22https://hdl.handle.net/11299/204737See readme.txt for a description of the files in this repository.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.Attribution-NonCommercial-ShareAlike 3.0 United Stateshttp://creativecommons.org/licenses/by-nc-sa/3.0/us/Conditional logistic regressionglmmTMBINLAmultinomial regressionrandom effectsresource selection functionstep-selection functionR Code and Output Supporting "Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation"Datasethttps://doi.org/10.13020/8bhv-dz98