Changes in version 1.1.0 (2026-09-02)                  

Installation:

remotes::install_github("congzhang365/rhythm.metrics")

What's New

  - Standardized Syntax: This version introduces minor syntax changes to
    argument names (e.g., c_label and v_label are now standardised to
    label_name or cv_label consistently).
  - R 4.6.0 Ready: Major update for R 4.6.0 compatibility and improved
    stability.

Available Calculation Functions:

  - delta_cv(df, cv_label, utterance_id, cv_duration)
  - varco_cv(df, cv_label, utterance_id, cv_duration)
  - percentage_v(df, v_label = "vowel", utterance_id, cv_duration,
    utterance_duration)
  - rpvi_c(df, cv_label, label_name = "consonant", utterance_id,
    cv_duration)
  - npvi_v(df, cv_label, label_name = "vowel", utterance_id,
    cv_duration)

Available Visualisation Functions:

  - plot_delta_cv(df, cv_label, utterance_id, cv_duration)
  - plot_varco_cv(df, cv_label, utterance_id, cv_duration)
  - plot_percentage_v(df, cv_label, label_name = "vowel", utterance_id,
    cv_duration, utterance_duration)
  - plot_rpvi(df, cv_label, label_name = "consonant", utterance_id,
    cv_duration)
  - plot_npvi(df, cv_label, label_name = "vowel", utterance_id,
    cv_duration)

                        Changes in version 1.0.0                        

Initial beta release. Published in 2022. No change up until April 2026.

Installation:

# Install remotes if you haven't already
install.packages("remotes")

# Install the legacy v1.0.0 version
remotes::install_github("congzhang365/rhythm.metrics@v1.0.0")

Available Calculation Functions:

  - delta_cv(df, cv_label, utterance_id, cv_duration)
  - varco_cv(df, cv_label, utterance_id, cv_duration)
  - percentage_v(df, v_label, utterance_id, cv_duration)
  - rpvi_c(df, c_label, utterance_id, cv_duration)
  - npvi_v(df, v_label, utterance_id, cv_duration)

Available Visualisation Functions:

  - plot_delta_cv(df, cv_label, utterance_id, cv_duration)
  - plot_varco_cv(df, cv_label, utterance_id, cv_duration)
  - plot_percentage_v(df, v_label, utterance_id, cv_duration)
  - plot_rpvi(df, c_label, utterance_id, cv_duration)
  - plot_npvi(df, v_label, utterance_id, cv_duration)