Changes in version 0.1.0 (2025-10-07)                  

Initial release:

  - simulate_stream() generates simulates data to perform stream-based
    active learning for process monitoring, as shown in the simulation
    study of Capezza, Lepore and Paynabar (2025).
  - fit_pHMM() fits a partially hidden Markov model (pHMM) to the data,
    as described in Capezza, Lepore and Paynabar (2025).
  - fit_pHMM_auto() fits a pHMM to the data with automatic selection of
    the number of hidden states and with automatic initialization, as
    shown in Capezza, Lepore and Paynabar (2025).
  - active_learning_pHMM() performs stream-based active learning for
    process monitoring, as described in Capezza, Lepore and Paynabar
    (2025).

References:

  - Capezza, C., Lepore, A., & Paynabar, K. (2025). Stream-Based Active
    Learning for Process Monitoring. Technometrics.
    doi:10.1080/00401706.2025.2561744.