API¶

`tedana.model`: Modeling TE-dependence¶

`tedana.model`
`tedana.model.fit_decay`(data, tes, mask, …)	Fit voxel-wise monoexponential decay models to data
`tedana.model.fit_decay_ts`(data, mask, tes, …)	Fit voxel- and timepoint-wise monoexponential decay models to data
`tedana.model.fitmodels_direct`(catd, mmix, …)	Fit models directly.
`tedana.model.make_optcom`(data, t2s, tes, …)	Optimally combine BOLD data across TEs.
`tedana.model.monoexponential`	Functions to estimate S0 and T2* from multi-echo data.
`tedana.model.fit`	Fit models.
`tedana.model.combine`	Functions to optimally combine data across echoes.

`tedana.decomposition`
`tedana.decomposition.tedpca`(catd, OCcatd, …)	Use principal components analysis (PCA) to identify and remove thermal noise from multi-echo data.
`tedana.decomposition.tedica`(n_components, …)	Performs ICA on dd and returns mixing matrix
`tedana.decomposition._utils`	Utility functions for tedana decomposition

`tedana.selection`
`tedana.selection.selcomps`(seldict, mmix, …)	Labels components in mmix
`tedana.selection._utils`	Utility functions for tedana.selection

`tedana.workflows`
`tedana.workflows.tedana`(data, tes[, mixm, …])	Run the “canonical” TE-Dependent ANAlysis workflow.
`tedana.workflows.t2smap`(data, tes[, …])	Estimate T2 and S0, and optimally combine data across TEs.

`tedana.utils`
`tedana.utils.io`	Functions to handle file input/output
`tedana.utils.utils`	Utilities for tedana package