squat 0.1.0
CRAN release: 2022-12-22
Major statistical features
- A first API proposal with a class
qts
and a classqts_sample
for which a number of methods are properly implemented. - Available statistical methods for QTS samples:
- Added multiple ways of displaying samples of QTS.
- Added two example datasets.
Improvements
- Make all functions applicable to a single QTS also applicable to QTS samples, with appropriate class for the output.
- Enable
as_qts_sample()
to generate a QTS sample of size 1 from a single QTS as input argument. - Rename
change_points
argument to theplot.qts()
function to better reflect its flexibility. - Added subset operator for QTS sample objects.
- Added
append
S3 method for QTS sample objects. - Added
hemispherize()
function to remove any discontinuities in QTS due to quaternion flips. - Any parallelization computation is now handled using the futureverse principles and, in particular, implemented through the use of the furrr package.