Fixed-constant thresholds for dynamic-state classification

The fixed knobs for sniff_trajectory_dynamics(). These are not the applied default: by default the cut points are derived from the data via data_state_thresholds(), and these constants serve as the explicit fixed-constant option (pass this list as thresholds) and as the fallback for any quantity that cannot be derived. The classification follows two axes (see sniff_trajectory_dynamics()): a life-cycle phase for living (central) trajectories and a terminal fate for declining (absorbed) ones.

Usage

fixed_state_thresholds()

Value

A list: emergence_growth (min annualized growth_rate for a central to count as emergence; default 0.15), emergence_novelty (min novelty for emergence; default 0.30), decline_growth (a central at or below this growth_rate is dormant by stall; default -0.05), convergence_entropy (an absorbed trajectory whose normalized destination entropy is below this converged, else diverged; default 0.5), dormancy_share (an absorbed trajectory whose terminal cohort drops at least this share is dormant by death; default 0.5).