Package: TSrepr 1.1.0

Peter Laurinec

TSrepr: 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 various normalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson), and forecasting accuracy measures are implemented.

Authors:Peter Laurinec [aut, cre]

TSrepr_1.1.0.tar.gz
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TSrepr_1.1.0.tgz(r-4.4-x86_64)TSrepr_1.1.0.tgz(r-4.4-arm64)TSrepr_1.1.0.tgz(r-4.3-x86_64)TSrepr_1.1.0.tgz(r-4.3-arm64)
TSrepr_1.1.0.tar.gz(r-4.5-noble)TSrepr_1.1.0.tar.gz(r-4.4-noble)
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TSrepr.pdf |TSrepr.html✨
TSrepr/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/petolau/tsrepr/issues

On CRAN:

data-analysisdata-miningdata-mining-algorithmsdata-sciencerepresentationtime-seriestime-series-analysistime-series-classificationtime-series-clusteringtime-series-data-miningtime-series-representations

51 exports 96 stars 4.09 score 12 dependencies 1 mentions 116 scripts 452 downloads

Last updated 4 years agofrom:1dd7ea8064. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:clippingdenorm_atandenorm_boxcoxdenorm_min_maxdenorm_yjdenorm_zl1CoeflmCoefmaapemaemapemasemaxCmdaemeanCmedianCminCmsenorm_atannorm_boxcoxnorm_min_maxnorm_min_max_listnorm_min_max_paramsnorm_yjnorm_znorm_z_listnorm_z_paramsrepr_dctrepr_dftrepr_dwtrepr_exprepr_feacliprepr_feacliptrendrepr_featrendrepr_gamrepr_listrepr_lmrepr_matrixrepr_paarepr_piprepr_plarepr_saxrepr_seas_profilerepr_smarepr_windowingrleCrlmCoefrmsesmapesumCtrending

Dependencies:dttlatticeMASSMatrixMatrixModelsmgcvnlmequantregRcppSparseMsurvivalwavelets