Package: samc 4.0.0

Andrew Marx

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.

Authors:Andrew Marx [aut, cre, cph], Robert Fletcher [ctb], Miguel Acevedo [ctb], Jorge Sefair [ctb], Chao Wang [ctb], Hughes Josie [ctb], Barrett Griffin [ctb]

samc_4.0.0.tar.gz
samc_4.0.0.zip(r-4.5)samc_4.0.0.zip(r-4.4)samc_4.0.0.zip(r-4.3)
samc_4.0.0.tgz(r-4.4-x86_64)samc_4.0.0.tgz(r-4.4-arm64)samc_4.0.0.tgz(r-4.3-x86_64)samc_4.0.0.tgz(r-4.3-arm64)
samc_4.0.0.tar.gz(r-4.5-noble)samc_4.0.0.tar.gz(r-4.4-noble)
|samc.html
samc/json (API)
NEWS

# Install 'samc' in R:
install.packages('samc', repos = c('https://andrewmarx.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/andrewmarx/samc/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

    On CRAN:

    absorbing-markov-chainsconnectivitylandscape-ecologylandscape-metricsmarkov-chain

    5.22 score 11 stars 15 scripts 551 downloads 14 exports 11 dependencies

    Last updated 23 days agofrom:409f3871d3. Checks:ERROR: 1 WARNING: 8. Indexed: yes.

    TargetResultDate
    Doc / VignettesFAILNov 20 2024
    R-4.5-win-x86_64WARNINGNov 20 2024
    R-4.5-linux-x86_64WARNINGNov 20 2024
    R-4.4-win-x86_64WARNINGNov 20 2024
    R-4.4-mac-x86_64WARNINGNov 20 2024
    R-4.4-mac-aarch64WARNINGNov 20 2024
    R-4.3-win-x86_64WARNINGNov 20 2024
    R-4.3-mac-x86_64WARNINGNov 20 2024
    R-4.3-mac-aarch64WARNINGNov 20 2024

    Exports:absorptioncheckcond_passagedispersaldistributionlocatemapmortalitypairwiserasterizesamcsurvivalvisitationvisitation_net

    Dependencies:bootcircularlatticeMatrixmvtnormrasterRcppRcppEigenRcppThreadspterra

    Overview

    Rendered fromoverview.Rmdusingknitr::rmarkdownon Nov 20 2024.

    Last update: 2024-10-31
    Started: 2019-08-12