Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://cran.rstudio.com/web/packages/Rcpp/../RcppDynProg/../Rcpp/../moveHMM/readme/README.html below:

README

An R package for analysing animal movement with hidden Markov models.

Get started with the vignettes:

• Guide to using moveHMM
• moveHMM workflow: wild haggis analysis
• Choosing starting values in moveHMM

The package is available on CRAN. To install it from CRAN, you can use the following command:

install.packages("moveHMM")

To install the latest (unstable) version of the package from Github:

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.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4