Rcatch220.2.1 package

Calculation of 22 CAnonical Time-Series CHaracteristics

catch22_all

Automatically run every time-series feature calculation included in th...

CO_Embed2_Dist_tau_d_expfit_meandiff

Function to calculate a statistical feature

CO_f1ecac

Function to calculate a statistical feature

CO_FirstMin_ac

Function to calculate a statistical feature

CO_HistogramAMI_even_2_5

Function to calculate a statistical feature

CO_trev_1_num

Function to calculate a statistical feature

DN_HistogramMode_10

Function to calculate a statistical feature

DN_HistogramMode_5

Function to calculate a statistical feature

DN_Mean

Function to calculate a statistical feature

DN_OutlierInclude_n_001_mdrmd

Function to calculate a statistical feature

DN_OutlierInclude_p_001_mdrmd

Function to calculate a statistical feature

DN_Spread_Std

Function to calculate a statistical feature

FC_LocalSimple_mean1_tauresrat

Function to calculate a statistical feature

FC_LocalSimple_mean3_stderr

Function to calculate a statistical feature

IN_AutoMutualInfoStats_40_gaussian_fmmi

Function to calculate a statistical feature

MD_hrv_classic_pnn40

Function to calculate a statistical feature

PD_PeriodicityWang_th0_01

Function to calculate a statistical feature

SB_BinaryStats_diff_longstretch0

Function to calculate a statistical feature

SB_BinaryStats_mean_longstretch1

Function to calculate a statistical feature

SB_MotifThree_quantile_hh

Function to calculate a statistical feature

SB_TransitionMatrix_3ac_sumdiagcov

Function to calculate a statistical feature

SC_FluctAnal_2_dfa_50_1_2_logi_prop_r1

Function to calculate a statistical feature

SC_FluctAnal_2_rsrangefit_50_1_logi_prop_r1

Function to calculate a statistical feature

SP_Summaries_welch_rect_area_5_1

Function to calculate a statistical feature

SP_Summaries_welch_rect_centroid

Function to calculate a statistical feature

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Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.

  • Maintainer: Trent Henderson
  • License: GPL-3
  • Last published: 2022-06-03