| as.arccount | Convert a TSMP object into another if possible |
| as.chain | Convert a TSMP object into another if possible |
| as.discord | Convert a TSMP object into another if possible |
| as.fluss | Convert a TSMP object into another if possible |
| as.matrixprofile | Convert a TSMP object into another if possible |
| as.motif | Convert a TSMP object into another if possible |
| as.multimatrixprofile | Convert a TSMP object into another if possible |
| as.multimotif | Convert a TSMP object into another if possible |
| as.salient | Convert a TSMP object into another if possible |
| as.valmod | Convert a TSMP object into another if possible |
| av_apply | Corrects the matrix profile using an annotation vector |
| av_complexity | Computes the annotation vector that favors complexity |
| av_hardlimit_artifact | Computes the annotation vector that suppresses hard-limited artifacts |
| av_motion_artifact | Computes the annotation vector that suppresses motion artifacts |
| av_stop_word | Computes the annotation vector that suppresses stop-word motifs |
| av_zerocrossing | Computes the annotation vector that favors number of zero crossing |
| fast_movavg | Fast implementation of moving average and |
| fast_movsd | Fast implementation of moving standard deviation using filter |
| find_chains | Find Time Series Chains |
| find_discord | Search for Discord |
| find_discord.MatrixProfile | Search for Discord |
| find_motif | Search for Motifs |
| find_motif.MatrixProfile | Search for Motifs |
| find_motif.MultiMatrixProfile | Search for Motifs |
| fluss | Fast Low-cost Unipotent Semantic Segmentation (FLUSS) |
| fluss_cac | FLUSS - Corrected Arc Counts |
| fluss_extract | FLUSS - Extract Segments |
| fluss_score | FLUSS - Prediction score calculation |
| get_data | Get the data included in a TSMP object, if any. |
| mass | Calculates the distance profile using MASS algorithm |
| mass_pre | Precomputes several values used on MASS |
| mp_fluss_data | Original data used in the FLUSS paper |
| mp_gait_data | Original data used in the Time Series Chain demo |
| mp_meat_data | Original data used in the Salient Subsequences demo |
| mp_test_data | Original data used in the STDS demo |
| mp_toy_data | Original data used in the mSTAMP demo |
| mstomp | Multivariate STOMP algorithm Parallel version |
| mstomp_par | Multivariate STOMP algorithm Parallel version |
| plot | Plot a TSMP object |
| plot.ArcCount | Plot a TSMP object |
| plot.Chain | Plot a TSMP object |
| plot.Discord | Plot a TSMP object |
| plot.Fluss | Plot a TSMP object |
| plot.MatrixProfile | Plot a TSMP object |
| plot.Motif | Plot a TSMP object |
| plot.MultiMatrixProfile | Plot a TSMP object |
| plot.MultiMotif | Plot a TSMP object |
| plot.Salient | Plot a TSMP object |
| plot.SimpleMatrixProfile | Plot a TSMP object |
| plot.Valmod | Plot a TSMP object |
| plot_arcs | Plot arcs between indexes of a Profile Index |
| salient_mds | Convert salient sequences into MDS space |
| salient_score | Computes the F-Score of salient algorithm. |
| salient_subsequences | Framework for retrieve salient subsequences from a dataset |
| scrimp | Anytime univariate SCRIMP++ algorithm |
| sdts_predict | Framework for Scalable Dictionary learning for Time Series (SDTS) prediction function |
| sdts_score | Computes the F-Score of a SDTS prediction |
| sdts_train | Framework for Scalable Dictionary learning for Time Series (SDTS) training function |
| set_data | Set/changes the data included in TSMP object. |
| simple_fast | Compute the join similarity for Sound data |
| stamp | Anytime univariate STAMP algorithm Parallel version |
| stamp_par | Anytime univariate STAMP algorithm Parallel version |
| stomp | Univariate STOMP algorithm |
| stomp_par | Univariate STOMP algorithm |
| tsmp | Computes the Matrix Profile and Profile Index |
| valmod | Variable Length Motif Discovery |