# Variable Length Markov Chains with Covariates

## Documentation for package ‘mixvlmc’ version 0.2.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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)