Description: A simple and the early stage package for matrix profile based on the paper of Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, and Eamonn Keogh (2016) <DOI:10.1109/ICDM.2016.0179>. This package calculates all-pairs-similarity for a given window size for time series data.
Depends: R (>= 3.0.0), graphics, stats, TTR, zoo, fftw, signal

Title: Methods that apply to rows and columns of a matrix
Author: Henrik Bengtsson <henrikb@braju.com> (partly by Robert
Depends: R (>= 2.6.0), methods, R.methodsS3
Description: This packages provides methods operating on rows and
columns of matrices.  The methods are optimized for speed and
memory.  This package is currently in a beta phase.  Make sure
to read the 'Roadmap' section in the package help.

Imports: methods, R.methodsS3 (>= 1.6.1)
Author: Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Peter Langfelder [ctb]
Description: This packages provides methods operating on rows and columns of matrices, e.g. col/rowMedians() and col/rowRanks().  There are also some vector-based methods, e.g. anyMissing(), weightedMedians(), and binMeans().  The objective is to have all methods being optimized for speed and memory usage.

Title: Methods that Apply to Rows and Columns of a Matrix
Description: Methods operating on rows and columns of matrices, e.g. col/rowMedians(), col/rowRanks() and col/rowSds().  There are also some vector-based methods, e.g. binMeans(), madDiff() and weightedMedians().  All methods have been optimized for speed and memory usage.

Description: Methods operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds().  There are also some vector-based methods, e.g. binMeans(), madDiff() and weightedMedians().  All methods have been optimized for speed and memory usage.

Suggests: R.rsp, microbenchmark, R.devices, base64enc, ggplot2, knitr