ctmm: an r package for analyzing animal relocation data as a continuous‐time stochastic process

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Estimating utilization distributions from fitted step-selection functions (2017, background): “It is however different from the concept of the “occurrence distribution” (Fleming et al. 2015, 2016, Calabrese et al. 2016), which estimates the path taken during a particular tracking interval.”
Animal movement tools (amt): R package for managing tracking data and conducting habitat selection analyses (2018, background): “Although a large number of R packages have been developed for analyzing animal movement data (e.g., Calabrese et al. , 2016; Gurarie et al. , 2009; Michelot et al. , 2016) these packages often utilize domain-speciﬁc data formats and focus on a narrow subset of analytical methods (e.g., methods for…”
momentuHMM: R package for generalized hidden Markov models of animal movement (2017, methodology): “Realizations of the position process from any movement model that accounts for measurement error and/or temporal irregularity (e.g. Calabrese et al. 2016) could be passed to MIfitHMM for HMM-type analyses in the second stage.”
Statistical inference for home range overlap (2018, methodology): “This method is now available via command line interface through the ctmm package (Calabrese et al., 2016) or through the web-based graphical user interface at ctmm.shinyapps.io/ctmmweb/ (Dong et al., 2017).”