spMC: Continuous-Lag Spatial Markov Chains

A set of functions is provided for 1) the stratum lengths analysis along a chosen direction, 2) fast estimation of continuous lag spatial Markov chains model parameters and probability computing (also for large data sets), 3) transition probability maps and transiograms drawing, 4) simulation methods for categorical random fields. More details on the methodology are discussed in Sartore (2013) <doi:10.32614/RJ-2013-022> and Sartore et al. (2016) <doi:10.1016/j.cageo.2016.06.001>.

Version: 0.3.15
Depends: R (≥ 3.0.0), base, methods, datasets, utils, grDevices, graphics, stats
Published: 2023-05-03
DOI: 10.32614/CRAN.package.spMC
Author: Luca Sartore ORCID iD [aut, cre]
Maintainer: Luca Sartore <drwolf85 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: spMC citation info
Materials: README NEWS
CRAN checks: spMC results


Reference manual: spMC.pdf


Package source: spMC_0.3.15.tar.gz
Windows binaries: r-devel: spMC_0.3.15.zip, r-release: spMC_0.3.15.zip, r-oldrel: spMC_0.3.15.zip
macOS binaries: r-release (arm64): spMC_0.3.15.tgz, r-oldrel (arm64): spMC_0.3.15.tgz, r-release (x86_64): spMC_0.3.15.tgz, r-oldrel (x86_64): spMC_0.3.15.tgz
Old sources: spMC archive


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