model: Logistic model of a COVLMC context

In mixvlmc: Variable Length Markov Chains with Covariates

Logistic model of a COVLMC context

Description

This function returns a representation of the logistic model associated to a COVLMC context from its node in the associated context tree.

Usage

model(node, type = c("coef", "full"))

Arguments

node	A ctx_node_covlmc object as returned by find_sequence() or contexts.covlmc()
type	specifies the model information to return, either the coefficients only (type="coef" default case) or the full model object (type="full")

Details

Full model extraction is only possible if the COVLMC model what not fully trimmed (see trim.covlmc()). Notice that find_sequence.covlmc() can produce node that are not context: in this case this function return NULL.

Value

if node is a context, the coefficients of the logistic model (as a vector or a matrix depending on the size of the state space) or a logistic model as a R object. If node is not a context, NULL.

Examples

pc <- powerconsumption[powerconsumption$week == 5, ]
dts <- cut(pc$active_power, breaks = c(0, quantile(pc$active_power, probs = c(0.5, 1))))
dts_cov <- data.frame(day_night = (pc$hour >= 7 & pc$hour <= 17))
m_cov <- covlmc(dts, dts_cov, min_size = 10)
vals <- states(m_cov)
node <- find_sequence(m_cov, c(vals[1], vals[1]))
node
model(node)
model(node, type = "full")

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