%++% | 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 |