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 |