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spMC  

Continuous-Lag Spatial Markov Chains
View on CRAN: Click here


Download and install spMC package within the R console
Install from CRAN:
install.packages("spMC")

Install from Github:
library("remotes")
install_github("cran/spMC")

Install by package version:
library("remotes")
install_version("spMC", "0.3.16")



Attach the package and use:
library("spMC")
Maintained by
Luca Sartore
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-03-19
Latest Update: 2023-05-03
Description:
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>.
How to cite:
Luca Sartore (2012). spMC: Continuous-Lag Spatial Markov Chains. R package version 0.3.16, https://cran.r-project.org/web/packages/spMC. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-09-05 21:40), 0.2.0 (2012-03-19 17:29), 0.2.1 (2012-03-21 08:59), 0.2.2 (2012-03-26 11:25), 0.2.4 (2012-07-13 08:57), 0.3.1 (2013-04-15 10:20), 0.3.2 (2014-08-22 21:20), 0.3.4 (2014-09-19 17:28), 0.3.6 (2014-12-31 00:09), 0.3.8 (2016-10-22 12:17), 0.3.9 (2018-02-13 00:11), 0.3.10 (2019-03-05 22:30), 0.3.11 (2021-06-20 12:00), 0.3.12 (2022-06-11 23:20), 0.3.15 (2023-05-03 06:50)
Other packages that cited spMC R package
View spMC citation profile
Other R packages that spMC depends, imports, suggests or enhances
Complete documentation for spMC
Functions, R codes and Examples using the spMC R package
Some associated functions: ACM . boxplot.lengths . contour.pemt . density.lengths . embed_MC . getlen . hist.lengths . image.multi_tpfit . image.pemt . is.lengths . is.multi_tpfit . is.multi_transiogram . is.pemt . is.tpfit . is.transiogram . mixplot . mlen . multi_tpfit . multi_tpfit_ils . multi_tpfit_me . multi_tpfit_ml . pemt . persp.multi_tpfit . persp.pemt . plot.density.lengths . plot.hist.lengths . plot.lengths . plot.transiogram . predict.multi_tpfit . predict.tpfit . print.density.lengths . print.lengths . print.multi_tpfit . print.multi_transiogram . print.summary.lengths . print.tpfit . print.transiogram . quench . setCores . sim . sim_ck . sim_ik . sim_mcs . sim_path . spMC-package . summary.lengths . tpfit . tpfit_ils . tpfit_me . tpfit_ml . transiogram . which_lines . 
Some associated R codes: boxplot.lengths.R . contour.pemt.R . density.lengths.R . embed_MC.R . getlen.R . hist.lengths.R . image.multi_tpfit.R . image.pemt.R . is.lengths.R . is.multi_tpfit.R . is.multi_transiogram.R . is.pemt.R . is.tpfit.R . is.transiogram.R . mixplot.R . mlen.R . multi_tpfit.R . multi_tpfit_ils.R . multi_tpfit_me.R . multi_tpfit_ml.R . pemt.R . persp.multi_tpfit.R . persp.pemt.R . plot.density.lengths.R . plot.hist.lengths.R . plot.lengths.R . plot.transiogram.R . predict.multi_tpfit.R . predict.tpfit.R . print.density.lengths.R . print.lengths.R . print.multi_tpfit.R . print.multi_transiogram.R . print.summary.lengths.R . print.tpfit.R . print.transiogram.R . quench.R . setCores.R . sim.R . sim_ck.R . sim_ik.R . sim_mcs.R . sim_path.R . summary.lengths.R . tpfit.R . tpfit_ils.R . tpfit_me.R . tpfit_ml.R . transiogram.R . which_lines.R . zzz.R .  Full spMC package functions and examples
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