The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Models categorical time series through a Markov Chain when a) covariates are predictors for transitioning into the next state/symbol and b) when the dependence in the past states has variable length. The probability of transitioning to the next state in the Markov Chain is defined by a multinomial regression whose parameters depend on the past states of the chain and, moreover, the number of states in the past needed to predict the next state also depends on the observed states themselves. See Zambom, Kim, and Garcia (2022) <doi:10.1111/jtsa.12615>.
| Version: | 1.0 |
| Imports: | graphics, nnet, berryFunctions, stats, utils |
| Published: | 2024-02-08 |
| DOI: | 10.32614/CRAN.package.VLMCX |
| Author: | Adriano Zanin Zambom Developer [aut, cre, cph], Seonjin Kim Developer [aut], Nancy Lopes Garcia Developer [aut] |
| Maintainer: | Adriano Zanin Zambom Developer <adriano.zambom at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | VLMCX results |
| Reference manual: | VLMCX.pdf |
| Package source: | VLMCX_1.0.tar.gz |
| Windows binaries: | r-devel: VLMCX_1.0.zip, r-release: VLMCX_1.0.zip, r-oldrel: VLMCX_1.0.zip |
| macOS binaries: | r-release (arm64): VLMCX_1.0.tgz, r-oldrel (arm64): VLMCX_1.0.tgz, r-release (x86_64): VLMCX_1.0.tgz, r-oldrel (x86_64): VLMCX_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=VLMCX to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.