424 citations · 716 across the 5 of their papers we have counts for
5 papers
Inferring resource selection and utilization distributions from irregular and error-prone animal tracking data
Fanny Dupont, Brett T. McClintock, Jan-Ole Fischer +3
Habitat selection and space use are fundamental to understanding animal distribution. Traditional methods for quantifying habitat preferences from telemetry data assume regular sam…
Uncovering ecological state dynamics with hidden Markov models
Brett T. McClintock, Roland Langrock, Olivier Gimenez +4
Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities, or entire ecosystems through t…
momentuHMM: R package for generalized hidden Markov models of animal movement
Brett T. McClintock, Theo Michelot
Discrete-time hidden Markov models (HMMs) have become an immensely popular tool for inferring latent animal behaviors from telemetry data. Here we introduce an open-source R packag…
Capture-recapture abundance estimation using a semi-complete data likelihood approach
Ruth King, Brett T. McClintock, Darren Kidney +1
Capture-recapture data are often collected when abundance estimation is of interest. In the presence of unobserved individual heterogeneity, specified on a continuous scale for the…
Probit models for capture-recapture data subject to imperfect detection, individual heterogeneity and misidentification
Brett T. McClintock, Larissa L. Bailey, Brian P. Dreher +1
As noninvasive sampling techniques for animal populations have become more popular, there has been increasing interest in the development of capture-recapture models that can accom…