extract_initial_probs: Extract Initial Probabilities from Model

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Extract Initial Probabilities from Model

Description

Extract the initial state probability vector from a TNA model object.

Usage

extract_initial_probs(model)

Arguments

model

A TNA model object or a list containing an 'initial' element.

Details

Initial probabilities represent the probability of starting a sequence in each state. If the model doesn't have explicit initial probabilities, this function attempts to estimate them from the data or use uniform probabilities.

Value

A named numeric vector of initial state probabilities.

See Also

extract_transition_matrix for extracting the transition matrix, extract_edges for extracting an edge list.

Examples

seqs <- data.frame(V1 = c("A","B","A"), V2 = c("B","A","C"), V3 = c("A","C","B"))
net <- build_network(seqs, method = "relative")
init_probs <- extract_initial_probs(net)
print(init_probs)

Nestimate documentation built on April 20, 2026, 5:06 p.m.