Linear Trend Segmentation and Point Anomaly Detection

Documentation for package ‘trendsegmentR’ version 1.0.0

trendsegmentR-package	trendsegmentR: A device for detecting multiple change-points corresponding to linear trend changes or point anomalies in one dimensional data
filter	Finding a detail filter vector for computing a detail coefficient
invTGUW	Inverse Tail-Greedy Unbalanced Wavelet (TGUW) transformation
orthmatrix	Finding an orthonormal matrix based on a detail filter vector
TGUW	Tail-Greedy Unbalanced Wavelet (TGUW) transformation of a vector
thresholding	Noise reduction from the sequence of detail coefficients returned by the Tail-Greedy Unbalanced Wavelet (TGUW) transformation
trendsegment	Detecting linear trend changes and point anomalies for univariate time series
trendsegmentR	trendsegmentR: A device for detecting multiple change-points corresponding to linear trend changes or point anomalies in one dimensional data