TSrepr (1.0.3)

0 users

Time Series Representations.

https://petolau.github.io/package/
https://github.com/PetoLau/TSrepr/
http://cran.r-project.org/web/packages/TSrepr

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 about 1 month ago.


3 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

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, cts, depmix, dlm, dse, dyn, dynlm, ensembleBMA, fGarch, fNonlinear, fame, fracdiff, fractal, kza, mAr(20 best matches, based on common tags.)


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

Visit TSrepr on R Graphical Manual.