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| %++% | Positive increment |
| %+-% | Signed increment |
| %00% | Rose tinted infix |
| add_alpha | Add transparency to a colour |
| as.numeric_character | Convert character vector to a named numeric vector |
| as.numeric_factor | Convert numeric factor to numeric vector |
| bandReplace | Replace matrix diagonals |
| crqa_cl | Fast (C)RQA (command line crp) |
| crqa_diagPofile | Diagonal Recurrence Profile |
| crqa_parameters | Find optimal (C)RQA parameters |
| crqa_radius | Find fixed or optimal radius |
| crqa_rp | Get bootsrapped (C)RQA measures based on a recurrence matrix |
| di2bi | Distance to binary matrix |
| di2we | Distance 2 weighted matrix |
| dist_hamming | Calculate Hamming distance |
| elascer | Elastic Scaler - A Flexible Rescale Function |
| est_emDim | Estimate number of embedding dimensions |
| est_emLag | Estimate embedding lag (tau) |
| factor_obs_exp | Factor labels |
| faDFA | Detrended Fluctuation Analysis |
| faPSD | Power Spectral Density Slope |
| faSDA | Standardised Dispersion Analysis |
| fd_allan | Allan Variance Analysis |
| fd_dfa | Detrended Fluctuation Analysis (DFA) |
| fd_psd | Power Spectral Density Slope (PSD). |
| fd_RR | Relative Roughness |
| fd_sda | Standardised Dispersion Analysis (SDA). |
| fd_sev | Calculate FD using Sevcik's method |
| gg_plotHolder | gg_plotHolder |
| gg_theme | gg_theme |
| growth_ac | Examples of dynamical growth models (maps) |
| growth_ac_cond | Examples of conditional dynamical growth models (maps) |
| is.wholenumber | Whole number? |
| MFDFA | Multi-fractal Detrended Fluctuation Analysis |
| mif | Mutual Information Function |
| mif_interlayer | Inter-layer mutual information |
| mi_mat | Mutual Information variations |
| pacf_fisherZ | FisherZ for PACF |
| plotNET_BA | Example of Barabasi scale-free network |
| plotNET_groupColour | Vertex Group Colours |
| plotNET_groupWeight | Set Edge weights by group |
| plotNET_prep | Plot Network Based on RQA |
| plotNET_SW | Example of Strogatz-Watts small-world network |
| plotRED_acf | Plot ACF and PACF |
| plotRED_mif | Plot various MI functions |
| plotSUR_hist | Surrogate Test |
| recNet | Recurrence Networks |
| repmat | Repeat Copies of a Matrix |
| rp | Create a Distance Matrix |
| rp_copy_attributes | Copy Matrix Attributes |
| rp_lineDist | Line length distributions |
| rp_nzdiags | rp_nzdiags |
| rp_plot | Plot (thresholded) distance matrix |
| rp_size | rp_size |
| rqaAU | Auto RQA |
| rqaCR | Cross RQA |
| sa2fd_dfa | Informed Dimension estimate from DFA slope (H) |
| sa2fd_psd | Informed Dimension estimate from Spectral Slope (aplha) |
| sa2fd_sda | Informed Dimension estimate from SDA slope. |
| ssgBI | Bivariate State Space Grid |
| ssgUNI | Univariate State Space Grid |
| ssg_gwf2long | Import GrdWare files |
| ssg_winnowing | ssg_winnowing |
| statNet | Static Networks |
| symbolize | Convert numeric vectors to symbolic vectors. |
| tsACF | Linear Temporal Correlations |
| tsENT | Entropy & Roughness |
| tsLVL | Detect levels & peaks |
| tsPKS | Detect peaks |
| tsRR | Relative Roughness |
| tsSUR | Generate random surrogates |
| tsTST | Statistical Tests of Data Assumptions |
| ts_center | Center a vector |
| ts_changeindex | Find change indices |
| ts_checkfix | Check and/or Fix a vector |
| ts_detrend | Detrend a time series |
| ts_diff | Derivative of time series |
| ts_discrete | Discrete representation |
| ts_duration | Time series to Duration series |
| ts_embed | Delay embedding of a time series |
| ts_integrate | Create a timeseries profile |
| ts_levels | Detect levels in time series |
| ts_peaks | Find Peaks or Wells |
| ts_sd | Standard Deviation estimates |
| ts_slice | Slice columns of a matrix in epochs |
| ts_standardise | Standardise a vector |
| ts_sumorder | Adjust time series by summation order |
| ts_symbolic | Symbolic representation |
| ts_trimfill | Trim or Fill Vectors |
| ts_windower | Get sliding window indices |