as_vlmc: Convert an object to a Variable Length Markov Chain (VLMC)

In mixvlmc: Variable Length Markov Chains with Covariates

Convert an object to a Variable Length Markov Chain (VLMC)

Description

This generic function converts an object into a vlmc.

Usage

as_vlmc(x, ...)

## S3 method for class 'ctx_tree'
as_vlmc(x, alpha, cutoff, ...)

## S3 method for class 'tune_vlmc'
as_vlmc(x, ...)

Arguments

x	an object to convert into a vlmc.
...	additional arguments for conversion functions.
alpha	cut off parameter applied during the conversion, quantile scale (if specified)
cutoff	cut off parameter applied during the conversion, native scale (if specified)

Details

This function converts a context tree into a VLMC. If alpha or cutoff is specified, it is used to reduce the complexity of the tree as in a direct call to vlmc() (prune()).

Value

a vlmc

See Also

ctx_tree()

tune_vlmc()

Examples

## conversion from a context tree
dts <- c(0, 1, 1, 1, 0, 0, 1, 0, 1, 0)
dts_ctree <- ctx_tree(dts, min_size = 1, max_depth = 3)
draw(dts_ctree)
dts_vlmc <- as_vlmc(dts_ctree)
class(dts_vlmc)
draw(dts_vlmc)
## conversion from the result of tune_vlmc
dts <- sample(as.factor(c("A", "B", "C")), 100, replace = TRUE)
tune_result <- tune_vlmc(dts)
tune_result
dts_best_vlmc <- as_vlmc(tune_result)
draw(dts_best_vlmc)

mixvlmc documentation built on June 8, 2025, 12:35 p.m.