NEWS.md

In impactr: Mechanical Loading Prediction Through Accelerometer Data

impactr 0.4.2

• Fixed some notes on CRAN checks

impactr 0.4.1

• 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.

impactr 0.4.0

• 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.

impactr 0.3.0

• 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".

impactr 0.2.0

• 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).

impactr documentation built on May 29, 2024, 6:32 a.m.