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) |