is_merged: Merging status of a COVLMC context

In mixvlmc: Variable Length Markov Chains with Covariates

Merging status of a COVLMC context

Description

The function returns TRUE if the context represented by this node is merged with at least another one and FALSE if this is not the case.

Usage

is_merged(node)

Arguments

node	A ctx_node_covlmc object as returned by find_sequence() or contexts.covlmc()

Details

When a COVLMC is built on a time series with at least three distinct states, some contexts can be merged: they use the same logistic model, leading to a more parsimonious model. Those contexts are reported individually by functions such as contexts.covlmc(). The present function can be used to detect such merging, while merged_with() can be used to recover the other contexts.

Value

TRUE or FALSE, depending on the nature of the context

See Also

merged_with()

Examples

pc <- powerconsumption[powerconsumption$week == 15, ]
dts <- cut(pc$active_power, breaks = c(0, 1, 2, 3, 8))
dts_cov <- data.frame(day_night = (pc$hour >= 7 & pc$hour <= 17))
m_cov <- covlmc(dts, dts_cov, min_size = 5, alpha = 0.1)
ctxs <- contexts(m_cov)
## no merging
sapply(ctxs, is_merged)

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