Package: spMC 0.3.15
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>.
Authors:
spMC_0.3.15.tar.gz
spMC_0.3.15.zip(r-4.5)spMC_0.3.15.zip(r-4.4)spMC_0.3.15.zip(r-4.3)
spMC_0.3.15.tgz(r-4.4-x86_64)spMC_0.3.15.tgz(r-4.4-arm64)spMC_0.3.15.tgz(r-4.3-x86_64)spMC_0.3.15.tgz(r-4.3-arm64)
spMC_0.3.15.tar.gz(r-4.5-noble)spMC_0.3.15.tar.gz(r-4.4-noble)
spMC_0.3.15.tgz(r-4.4-emscripten)spMC_0.3.15.tgz(r-4.3-emscripten)
spMC.pdf |spMC.html✨
spMC/json (API)
NEWS
# Install 'spMC' in R: |
install.packages('spMC', repos = c('https://drwolf85.r-universe.dev', 'https://cloud.r-project.org')) |
- ACM - ACM Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:b377ed63ce. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win-x86_64 | OK | Nov 23 2024 |
R-4.5-linux-x86_64 | OK | Nov 23 2024 |
R-4.4-win-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-aarch64 | OK | Nov 23 2024 |
R-4.3-win-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-aarch64 | OK | Nov 23 2024 |
Exports:boxplot.lengthscontour.pemtdensity.lengthsembed_MCgetlenhist.lengthsimage.multi_tpfitimage.pemtis.lengthsis.multi_tpfitis.multi_transiogramis.pemtis.tpfitis.transiogrammixplotmlenmulti_tpfitmulti_tpfit_ilsmulti_tpfit_memulti_tpfit_mlpemtpersp.multi_tpfitpersp.pemtplot.density.lengthsplot.hist.lengthsplot.lengthsplot.transiogrampredict.multi_tpfitpredict.tpfitprint.density.lengthsprint.lengthsprint.multi_tpfitprint.multi_transiogramprint.summary.lengthsprint.tpfitprint.transiogramquenchsetCoressimsim_cksim_iksim_mcssim_pathsummary.lengthstpfittpfit_ilstpfit_metpfit_mltransiogramwhich_lines
Dependencies: