Estimated parameters from binomial regression models predicting headshaking in scimitar-horned oryx (Oryx dammah) after being fit with GPS collars.

Results summarize the joint posterior distributions across each individual (n = 4). Model 3 (Binomial regression with a negative exponential decay and a combination of harmonics) best fit the data in three out of four animals. Model 2 (Binomial regression with a negative exponential decay and a day/night switch) outcompeted the harmonic model in one of our animals. Half-life is the time (hours) required for the treatment effect (collar fitting) to decline to half its initial magnitude. Treatment Effect [(Handling Rate–Recovery Rate)/Recovery Rate * 100] is the percent increase in headshaking when comparing the rate of headshaking after being fit with GPS collars (Handling Rate) with the background rate (Recovery Rate). Model parameters and results from leave-one-out cross-validation provided in S3 Cross Validation.