Variable Length Markov Chains with Covariates
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Documentation for package ‘mixvlmc’ version 0.2.1
Help Pages
| mixvlmc-package | mixvlmc: Variable Length Markov Chains with Covariates |
| as_covlmc | Convert an object to a Variable Length Markov Chain with covariates (coVLMC) |
| as_covlmc.tune_covlmc | Convert an object to a Variable Length Markov Chain with covariates (coVLMC) |
| as_sequence | Extract the sequence encoded by a node |
| as_vlmc | Convert an object to a Variable Length Markov Chain (VLMC) |
| as_vlmc.ctx_tree | Convert an object to a Variable Length Markov Chain (VLMC) |
| as_vlmc.ctx_tree_cpp | Convert an object to a Variable Length Markov Chain (VLMC) |
| as_vlmc.tune_vlmc | Convert an object to a Variable Length Markov Chain (VLMC) |
| autoplot.tune_covlmc | Create a complete ggplot for the results of automatic COVLMC complexity selection |
| autoplot.tune_vlmc | Create a complete ggplot for the results of automatic VLMC complexity selection |
| children | Find the children nodes of a node in a context tree |
| children.ctx_node | Find the children nodes of a node in a context tree |
| children.ctx_node_cpp | Find the children nodes of a node in a context tree |
| contexts | Contexts of a context tree |
| contexts.covlmc | Contexts of a VLMC with covariates |
| contexts.ctx_tree | Contexts of a context tree |
| contexts.ctx_tree_cpp | Contexts of a context tree |
| contexts.vlmc | Contexts of a VLMC |
| contexts.vlmc_cpp | Contexts of a VLMC |
| context_number | Number of contexts of a context tree |
| context_number.covlmc | Contexts number of a VLMC with covariates |
| counts | Report the distribution of values that follow occurrences of a sequence |
| counts.ctx_node | Report the distribution of values that follow occurrences of a sequence |
| counts.ctx_node_cpp | Report the distribution of values that follow occurrences of a sequence |
| covariate_depth | Maximal covariate memory of a VLMC with covariates |
| covariate_memory | Covariate memory length for a COVLMC context |
| covlmc | Fit a Variable Length Markov Chain with Covariates (coVLMC) |
| covlmc_control | Control for coVLMC fitting |
| ctx_tree | Build a context tree for a discrete time series |
| cutoff | Cut off values for VLMC like model |
| cutoff.covlmc | Cut off values for pruning the context tree of a VLMC with covariates |
| cutoff.ctx_node | Cut off value for pruning a node in the context tree of a VLMC |
| cutoff.vlmc | Cut off values for pruning the context tree of a VLMC |
| cutoff.vlmc_cpp | Cut off values for pruning the context tree of a VLMC |
| depth | Depth of a context tree |
| draw | Text based representation of a context tree |
| draw.covlmc | Text based representation of a covlmc model |
| draw.ctx_tree | Text based representation of a context tree |
| draw.ctx_tree_cpp | Text based representation of a context tree |
| draw.vlmc | Text based representation of a vlmc |
| draw.vlmc_cpp | Text based representation of a vlmc |
| draw_control | Control parameters for 'draw' |
| find_sequence | Find the node of a sequence in a context tree |
| find_sequence.covlmc | Find the node of a sequence in a COVLMC context tree |
| find_sequence.ctx_tree | Find the node of a sequence in a context tree |
| find_sequence.ctx_tree_cpp | Find the node of a sequence in a context tree |
| globalearthquake | Significant Earthquake Dataset |
| is_context | Report the nature of a node in a context tree |
| is_covlmc | Test if the object is a covlmc model |
| is_ctx_tree | Test if the object is a context tree |
| is_merged | Merging status of a COVLMC context |
| is_reversed | Report the ordering convention of the node |
| is_vlmc | Test if the object is a vlmc model |
| logLik.covlmc | Log-Likelihood of a VLMC with covariates |
| logLik.vlmc | Log-Likelihood of a VLMC |
| logLik.vlmc_cpp | Log-Likelihood of a VLMC |
| loglikelihood | Log-Likelihood of a VLMC |
| loglikelihood.covlmc | Log-Likelihood of a VLMC with covariates |
| loglikelihood.vlmc | Log-Likelihood of a VLMC |
| loglikelihood.vlmc_cpp | Log-Likelihood of a VLMC |
| merged_with | Merged contexts in a COVLMC |
| metrics | Predictive quality metrics for context based models |
| metrics.covlmc | Predictive quality metrics for VLMC with covariates |
| metrics.ctx_node | Predictive quality metrics for a node of a context tree |
| metrics.ctx_node_covlmc | Predictive quality metrics for a node of a COVLMC context tree |
| metrics.vlmc | Predictive quality metrics for VLMC |
| mixvlmc | mixvlmc: Variable Length Markov Chains with Covariates |
| model | Logistic model of a COVLMC context |
| parent | Find the parent of a node in a context tree |
| parent.ctx_node | Find the parent of a node in a context tree |
| parent.ctx_node_cpp | Find the parent of a node in a context tree |
| plot.tune_covlmc | Plot the results of automatic (CO)VLMC complexity selection |
| plot.tune_vlmc | Plot the results of automatic (CO)VLMC complexity selection |
| positions | Report the positions of a sequence associated to a node |
| positions.ctx_node | Report the positions of a sequence associated to a node |
| positions.ctx_node_cpp | Report the positions of a sequence associated to a node |
| powerconsumption | Individual household electric power consumption |
| predict.covlmc | Next state prediction in a discrete time series for a VLMC with covariates |
| predict.vlmc | Next state prediction in a discrete time series for a VLMC |
| predict.vlmc_cpp | Next state prediction in a discrete time series for a VLMC |
| print.contexts | Print a context list |
| print.metrics.covlmc | Predictive quality metrics for VLMC with covariates |
| print.metrics.vlmc | Predictive quality metrics for VLMC |
| prune | Prune a Variable Length Markov Chain (VLMC) |
| prune.covlmc | Prune a Variable Length Markov Chain with covariates |
| prune.vlmc | Prune a Variable Length Markov Chain (VLMC) |
| prune.vlmc_cpp | Prune a Variable Length Markov Chain (VLMC) |
| rev.ctx_node | Reverse Sequence |
| simulate.covlmc | Simulate a discrete time series for a covlmc |
| simulate.vlmc | Simulate a discrete time series for a vlmc |
| simulate.vlmc_cpp | Simulate a discrete time series for a vlmc |
| states | State space of a context tree |
| trim | Trim a context tree |
| trim.covlmc | Trim a COVLMC |
| trim.vlmc | This function returns a trimmed VLMC from which match positions have been removed. |
| trim.vlmc_cpp | This function returns a trimmed VLMC from which match positions have been removed. |
| tune_covlmc | Fit an optimal Variable Length Markov Chain with Covariates (coVLMC) |
| tune_vlmc | Fit an optimal Variable Length Markov Chain (VLMC) |
| vlmc | Fit a Variable Length Markov Chain (VLMC) |