tsn constructs distance, visibility, and state-transition networks from
time-series data. tsn() is the core network constructor; vg(),
discretize(), trend(), and the ts_tna() family provide focused
workflows. Core construction uses only packages distributed with R, while
transition-network models require the suggested Nestimate package.
Author
Maintainer: Mohammed Saqr [email protected] [copyright holder]
Authors:
Sonsoles López-Pernas [copyright holder]
Manuel J. Gomez (University of Murcia)
