Per-Series Transition Networks — series

Split a pooled ts_tna()-family model into one full model per source series. Each element is rebuilt with the same network type and the shared state alphabet (params = list(alphabet = ...)), so every network has the same node set in the same order — directly comparable with each other and with the pooled summary model. Each element is a complete ts_tna netobject: it keeps its own series data, plots with plot.ts_tna(), and works with compatible Nestimate verbs. Statistical procedures still require enough independent sequences for their sampling design; a one-series split is descriptive rather than bootstrap-ready.

Usage

series_networks(x, series = NULL)

Arguments

x: A ts_tna result from ts_tna(), ts_ftna(), ts_cna(), or ts_atna().
series: Optional series IDs to keep (default: all).

Value

A named tsn_series_networks collection containing one ts_tna object per series. Its print, summary, and data-frame methods return a tidy one-row-per-series index; plot() draws the sole model or a model selected with its series argument.

Examples

set.seed(1)
series <- list(a = cumsum(rnorm(80)), b = cumsum(rnorm(80)))
pooled <- ts_tna(series, n_states = 3, labels = c("low", "mid", "high"))
networks <- series_networks(pooled)
plot(networks, series = "a")