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).