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samc: Spatial Absorbing Markov Chains

Implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.

Version: 3.2.1
Depends: R (≥ 3.6.0)
Imports: methods, Matrix (≥ 1.5-3), raster, terra (≥ 1.7-3), circular
LinkingTo: Rcpp (≥ 1.0.10), RcppEigen (≥ 0.3.3.9.3), RcppThread (≥ 2.1.3)
Suggests: knitr, rmarkdown, testthat, gdistance, viridisLite
Published: 2023-05-09
Author: Andrew Marx ORCID iD [aut, cre, cph], Robert Fletcher ORCID iD [ctb], Miguel Acevedo ORCID iD [ctb], Jorge Sefair ORCID iD [ctb], Chao Wang ORCID iD [ctb], Hughes Josie ORCID iD [ctb], Barrett Griffin [ctb]
Maintainer: Andrew Marx <ajm.rpackages at gmail.com>
BugReports: https://github.com/andrewmarx/samc/issues/
License: GPL (≥ 3)
URL: https://andrewmarx.github.io/samc/
NeedsCompilation: yes
Citation: samc citation info
Materials: NEWS
CRAN checks: samc results

Documentation:

Reference manual: samc.pdf
Vignettes: Overview

Downloads:

Package source: samc_3.2.1.tar.gz
Windows binaries: r-devel: samc_3.2.1.zip, r-release: samc_3.2.1.zip, r-oldrel: samc_3.2.1.zip
macOS binaries: r-release (arm64): samc_3.2.1.tgz, r-oldrel (arm64): samc_3.2.1.tgz, r-release (x86_64): samc_3.2.1.tgz, r-oldrel (x86_64): samc_3.2.1.tgz
Old sources: samc archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=samc to link to this page.

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.
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