DESCRIPTION

Package: samc
Type: Package
Title: Spatial Absorbing Markov Chains
Version: 4.0.0
Authors@R: c(
    person("Andrew", "Marx", , "ajm.rpackages@gmail.com", role = c("aut", "cre", "cph"), 
      comment = c(ORCID = "0000-0002-7456-1631")
    ),
    person("Robert", "Fletcher", , , role = c("ctb"),
      comment = c(ORCID = "0000-0003-1717-5707")
    ),
    person("Miguel", "Acevedo", , , role = c("ctb"),
      comment = c(ORCID = "0000-0002-8289-1497")
    ),
    person("Jorge", "Sefair", , , role = c("ctb"),
      comment = c(ORCID = "0000-0002-5887-8938")
    ),
    person("Chao", "Wang", , , role = c("ctb"),
      comment = c(ORCID = "0000-0003-2706-5122")
    ),
    person("Hughes", "Josie", , , role = c("ctb"),
      comment = c(ORCID = "0000-0001-7875-9015")
    ),
    person("Barrett", "Griffin", , , role = c("ctb"))
    )
Description: 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.
License: AGPL (>= 3)
URL: https://andrewmarx.github.io/samc/
BugReports: https://github.com/andrewmarx/samc/issues/
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports:
    methods,
    Matrix (>= 1.5-3),
    raster,
    terra (>= 1.7-3),
    circular
RoxygenNote: 7.3.2
Suggests: knitr,
    rmarkdown,
    testthat,
    gdistance,
    viridisLite
VignetteBuilder: knitr
Collate:
    'RcppExports.R'
    'location-class.R'
    'internal-classes.R'
    'samc-class.R'
    'absorption.R'
    'check.R'
    'cond_passage.R'
    'data.R'
    'visitation.R'
    'dispersal.R'
    'distribution.R'
    'generics.R'
    'internal-data.R'
    'internal-functions.R'
    'internal-utils.R'
    'internal-validation.R'
    'locate.R'
    'map.R'
    'mortality.R'
    'pairwise.R'
    'rasterize.R'
    'samc.R'
    'survival.R'
    'zzz.R'
LinkingTo: Rcpp (>= 1.0.10), RcppEigen (>= 0.3.3.9.3), RcppThread (>= 2.1.3)