Tidy Extractor for Low-Rank Factor Trajectories

Extracts the time-varying factor strengths \(\alpha_t\) from a fitted low-rank model in tidy data-frame format, ready for plotting with ggplot2. Each factor captures how strongly one latent dimension of the influence structure drives the dynamics at each time point. The returned data frame includes posterior means and 95\ credible intervals.

Usage

tidy_dbn_lowrank(fit, factors = NULL)

Arguments

fit

A fitted dbn object with model = "lowrank".

factors

Integer vector specifying which factors to extract (default: all r factors). For example, factors = 1:2 extracts the first two factors.

Value

Data frame with columns: time, mean (posterior mean of \(\alpha_k(t)\)), lo (2.5th percentile), hi (97.5th percentile), and factor (factor index).

See also

dbn() with model = "lowrank", plot_dbn() for built-in diagnostic plots