Statistics for Quaternion Temporal Data
QTS Sample Concatenation
Plot for prcomp_qts objects
Plot for qts_sample objects
Plot for qts objects
Plot for qtsclust objects
QTS Centering and Standardization
QTS Nearest-Neighbor Clustering
QTS Differentiation
QTS Distance Matrix Computation
Operator - for qts Objects
Dynamic Time Warping for Quaternion Time Series
QTS Exponential
QTS Hierarchical Agglomerative Clustering
QTS Hemispherization
Inverse Operator for qts Objects
QTS K-Means Alignment Algorithm
QTS Logarithm
QTS Geometric Mean
QTS Geometric Median
QTS Moving Average
QTS Normalization
Plot for prcomp_qts objects
Plot for qts_sample objects
Plot for qts objects
Plot for qtsclust objects
Operator + for qts Objects
PCA for QTS Sample
Predict QTS from PCA decomposition
QTS Sample Class
QTS Class
QTS Transformation to Angular Acceleration Magnitude Time Series
QTS Transformation to Angle-Axis Time Series
QTS Transformation to Angular Acceleration Vector Time Series
QTS Transformation To Angle Time Series
QTS Transformation to Angular Velocity Magnitude Time Series
QTS Transformation to Angular Velocity Vector Time Series
QTS Transformation To Distance Time Series
QTS Transformation To Norm Time Series
QTS Transformation to Roll-Pitch-Yaw Time Series
QTS Transformation to Smoothed Quaternion Time Series
QTS Reorientation
QTS Resampling
QTS Random Sampling
QTS Sample Centering and Standardization
QTS Smoothing via SLERP Interpolation
squat: Statistics for Quaternion Temporal Data
QTS Straightening
Operator * for qts Objects
An implementation of statistical tools for the analysis of rotation-valued time series and functional data. It relies on pre-existing quaternion data structure provided by the 'Eigen' 'C++' library.
Useful links