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mixvlmc  

Variable Length Markov Chains with Covariates
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mixvlmc", "0.2.1")



Attach the package and use:
library("mixvlmc")
Maintained by
Fabrice Rossi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-10
Latest Update: 2023-10-31
Description:
Estimates Variable Length Markov Chains (VLMC) models and VLMC with covariates models from discrete sequences. Supports model selection via information criteria and simulation of new sequences from an estimated model. See B
How to cite:
Fabrice Rossi (2023). mixvlmc: Variable Length Markov Chains with Covariates. R package version 0.2.1, https://cran.r-project.org/web/packages/mixvlmc
Previous versions and publish date:
0.1.1 (2023-07-10 18:20), 0.2.0 (2023-10-28 23:50)
Other packages that cited mixvlmc R package
View mixvlmc citation profile
Other R packages that mixvlmc depends, imports, suggests or enhances
Functions, R codes and Examples using the mixvlmc R package
Some associated functions: as_covlmc . as_sequence . as_vlmc.ctx_tree_cpp . as_vlmc . autoplot.tune_covlmc . autoplot.tune_vlmc . children . context_number.covlmc . context_number . contexts.covlmc . contexts.ctx_tree . contexts . contexts.vlmc . counts . covariate_depth . covariate_memory . covlmc . covlmc_control . ctx_tree . cutoff.covlmc . cutoff.ctx_node . cutoff . cutoff.vlmc . depth . draw.covlmc . draw.ctx_tree . draw . draw.vlmc . draw_control . find_sequence.covlmc . find_sequence . globalearthquake . is_context . is_covlmc . is_ctx_tree . is_merged . is_reversed . is_vlmc . logLik.covlmc . logLik.vlmc . loglikelihood.covlmc . loglikelihood . merged_with . metrics.covlmc . metrics.ctx_node . metrics.ctx_node_covlmc . metrics . metrics.vlmc . mixvlmc-package . model . parent . plot.tune_vlmc . positions . powerconsumption . predict.covlmc . predict.vlmc . print.contexts . prune.covlmc . prune . rev.ctx_node . simulate.covlmc . simulate.vlmc . simulate.vlmc_cpp . states . trim.covlmc . trim . trim.vlmc . trim.vlmc_cpp . tune_covlmc . tune_vlmc . vlmc . 
Some associated R codes: RcppExports.R . autoplot_tune.R . constant_model.R . contexts.R . covlmc.R . covlmc_as.R . covlmc_contexts.R . covlmc_covariate.R . covlmc_draw.R . covlmc_likelihood.R . covlmc_metrics.R . covlmc_predict.R . covlmc_simulate.R . covlmc_trim.R . covlmc_tune.R . ctx_node.R . ctx_node_covlmc.R . ctx_node_cpp.R . ctx_node_navigation.R . ctx_node_navigation_cpp.R . ctx_node_vlmc.R . ctx_node_vlmc_cpp.R . ctx_tree.R . ctx_tree_contexts.R . ctx_tree_cpp.R . ctx_tree_cpp_contexts.R . ctx_tree_cpp_draw.R . ctx_tree_draw.R . ctx_tree_trim.R . cutoff.R . data.R . dts.R . glm_extract.R . glm_fit.R . glm_metrics.R . glm_predict.R . glm_sample.R . glm_tools.R . glm_trim.R . match_ctx.R . metrics.R . mixvlmc-package.R . plot_tune.R . summary_covlmc.R . summary_ctx_tree.R . summary_ctx_tree_cpp.R . summary_tune_covlmc.R . summary_tune_vlmc.R . summary_vlmc.R . summary_vlmc_cpp.R . utils.R . vlmc.R . vlmc_as.R . vlmc_as_cpp.R . vlmc_contexts.R . vlmc_contexts_cpp.R . vlmc_cpp.R . vlmc_draw.R . vlmc_draw_cpp.R . vlmc_likelihood.R . vlmc_likelihood_cpp.R . vlmc_metrics.R . vlmc_predict.R . vlmc_predict_cpp.R . vlmc_simulate.R . vlmc_simulate_cpp.R . vlmc_trim.R . vlmc_trim_cpp.R . vlmc_tune.R . zzz.R .  Full mixvlmc package functions and examples
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