The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

To cite smam in publications use:

Hu C, Pozdnyakov V, Yan J (2024). smam: Statistical Modeling of Animal Movement. R package version 0.7.2, https://github.com/ChaoranHu/smam.

Pozdnyakov V, Meyer T, Wang Y, Yan J (2014). “On modeling animal movements using Brownian motion with measurement error.” Ecology, 95(2), 247–253. https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/13-0532.1.

Pozdnyakov V, Elbroch L, Labarga A, Meyer T, Yan J (2019). “Discretely observed Brownian motion governed by telegraph process: Estimation.” Methodology and Computing in Applied Probability, 21, 907–920. https://doi.org/10.1007/s11009-017-9547-6.

Jun Yan, Chen Y, Lawrence-Apfel K, Ortega I, Pozdnyakov V, Williams S, Meyer T (2014). “A moving-resting process with an embedded Brownian motion for animal movements.” Population Ecology, 56(2), 401–415. https://doi.org/10.1007/s10144-013-0428-8.

Pozdnyakov V, Elbroch L, Hu C, Meyer T, Yan J (2020). “On Estimation for Brownian Motion Governed by Telegraph Process with Multiple Off States.” Methodology and Computing in Applied Probability, 22, 1275–1291. https://doi.org/10.1007/s11009-020-09774-1.

Hu C, Elbroch L, Meyer T, Pozdnyakov V, Yan J (2021). “Moving-Resting Process with Measurement Error in Animal Movement Modeling.” Methods of Ecology and Evolution. https://doi.org/10.1111/2041-210X.13694.

Corresponding BibTeX entries:

  @Manual{,
    title = {{smam}: Statistical Modeling of Animal Movement},
    author = {Chaoran Hu and Vladimir Pozdnyakov and Jun Yan},
    note = {R package version 0.7.2},
    year = {2024},
    url = {https://github.com/ChaoranHu/smam},
  }
  @Article{,
    title = {On modeling animal movements using Brownian motion with
      measurement error},
    author = {Vladimir Pozdnyakov and Thomas Meyer and Yubo Wang and
      Jun Yan},
    journal = {Ecology},
    year = {2014},
    volume = {95},
    number = {2},
    pages = {247--253},
    url =
      {https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/13-0532.1},
  }
  @Article{,
    title = {Discretely observed Brownian motion governed by telegraph
      process: Estimation},
    author = {Vladimir Pozdnyakov and L. Mark Elbroch and Anthony
      Labarga and Thomas Meyer and Jun Yan},
    journal = {Methodology and Computing in Applied Probability},
    year = {2019},
    volume = {21},
    pages = {907--920},
    url = {https://doi.org/10.1007/s11009-017-9547-6},
  }
  @Article{,
    title = {A moving-resting process with an embedded Brownian motion
      for animal movements},
    author = {{Jun Yan} and Yung-wei Chen and Kirstin Lawrence-Apfel
      and Isaac M. Ortega and Vladimir Pozdnyakov and Scott Williams
      and Thomas Meyer},
    journal = {Population Ecology},
    year = {2014},
    volume = {56},
    number = {2},
    pages = {401--415},
    url = {https://doi.org/10.1007/s10144-013-0428-8},
  }
  @Article{,
    title = {On Estimation for Brownian Motion Governed by Telegraph
      Process with Multiple Off States},
    author = {Vladimir Pozdnyakov and L. Mark Elbroch and Chaoran Hu
      and Thomas Meyer and Jun Yan},
    journal = {Methodology and Computing in Applied Probability},
    year = {2020},
    volume = {22},
    pages = {1275--1291},
    url = {https://doi.org/10.1007/s11009-020-09774-1},
  }
  @Article{,
    title = {Moving-Resting Process with Measurement Error in Animal
      Movement Modeling},
    author = {Chaoran Hu and L. Mark Elbroch and Thomas Meyer and
      Vladimir Pozdnyakov and Jun Yan},
    journal = {Methods of Ecology and Evolution},
    year = {2021},
    url = {https://doi.org/10.1111/2041-210X.13694},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.