TSrepr (1.0.4)

0 users

Time Series Representations.


Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented.

Maintainer: Peter Laurinec
Author(s): Peter Laurinec [aut, cre] (<https://orcid.org/0000-0002-3501-8783>)

License: GPL-3 | file LICENSE

Uses: dtt, MASS, mgcv, quantreg, Rcpp, wavelets, ggplot2, moments, data.table, testthat, knitr, rmarkdown

Released 10 days ago.

4 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of TSrepr yet. Want to be the first? Write one now.

Related packages: ArDec, Ecdat, TSdbi, boot, brainwaver, chron, depmix, dlm, dse, dyn, dynlm, ensembleBMA, fGarch, fNonlinear, fame, fracdiff, fractal, kza, mAr, mFilter(20 best matches, based on common tags.)

Search for TSrepr on google, google scholar, r-help, r-devel.

Visit TSrepr on R Graphical Manual.