teneto.timeseries¶
teneto.timeseries Package¶
Import functions from time series module
Functions¶
derive_temporalnetwork(data, params) |
Derives connectivity from the data. |
postpro_pipeline(data, pipeline[, report]) |
Function to call multiple postprocessing steps. |
postpro_fisher(data[, report]) |
Performs fisher transform on everything in data. |
postpro_standardize(data[, report]) |
Standardizes everything in data (along axis -1). |
postpro_boxcox(data[, report]) |
Performs box cox transform on everything in data. |
remove_confounds(timeseries, confounds[, …]) |
Removes specified confounds using nilearn.signal.clean |
gen_report(report[, sdir, report_name]) |
Generates report of derivation and postprocess steps in teneto.timeseries |