Provides tools for animal movement modelling using hidden Markov models. These include processing of tracking data, fitting hidden Markov models to movement data, visualization of data and fitted model, decoding of the state process...
An R package for modelling animal movement with hidden Markov models.
Get started with the vignette: Guide to using moveHMM
The package is available on CRAN. To install it from CRAN, you can use the following commands:
# install dependenciesinstall.packages(c("Rcpp","RcppArmadillo","sp","CircStats"))# install moveHMMinstall.packages("moveHMM")
To install the latest (unstable) version of the package from Github:
install.packages(c("Rcpp","RcppArmadillo","sp","CircStats","devtools"))library(devtools)install_github("TheoMichelot/moveHMM", build_vignettes=TRUE)
Michelot, T., Langrock, R., Patterson, T.A. (2016). moveHMM: An R package for analysing animal movement data using hidden Markov models. Methods in Ecology and Evolution. 7(11), 1308-1315.
Langrock, R., King, R., Matthiopoulos, J., Thomas, L., Fortin, D., & Morales, J. M. (2012). Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions. Ecology, 93(11), 2336-2342.
Patterson, T. A., Basson, M., Bravington, M. V., & Gunn, J. S. (2009). Classifying movement behaviour in relation to environmental conditions using hidden Markov models. Journal of Animal Ecology, 78(6), 1113-1123.