Changes in version 0.4.1 (2022-08-08)                  

  - Fixed an issue with saving the non-wear plot with remove_nonwear()
    (#2).
  - Change the name of the "valid_observation" to "valid_file" in the
    non-wear summary to better express its meaning.
  - Limited the number of characters of the non-wear plot title to 50
    characters, preventing the plot title to exceed the plot window
    limits. In case of large (n. char. > 50) titles, remove_nonwear()
    automatically crops it.
  - Return NA in the summary variables from summarise_loading() whenever
    the number of detected peaks is 0.
  - Change the coefficients of the prediction models for walking/running
    to match the final version of the published paper.

                 Changes in version 0.4.0 (2022-01-15)                  

  - Added the function remove_nonwear() to detect and remove
    accelerometer non-wear time.
  - Added the function summarise_loading().
  - Include an interface to access example datasets from the {accdata}
    package. Run ?import_dataset for help.
  - Changed how resultant vector is computed to improve speed.
  - read_acc() no longer displays a progress bar.

                 Changes in version 0.3.0 (2021-11-18)                  

  - pracma::findpeaks() is now used to get the index of the curve start.
  - Fixed a bug in which predict_loading() did not return the expected
    columns if outcome is set to "all".
  - Added a new supported model: "jumping".

                 Changes in version 0.2.0 (2021-09-03)                  

  - define_region() now works with multi-day data. See the updated
    documentation.
  - specify_parameters() and filter_acc() throw errors when called more
    than once on the same data. This prevents attributes being
    accidentally added on top of existing ones.
  - predict() throws an error when required attributes are missing.
  - Fixed a test failure with {tibble} release 3.1.4 (#1).