Inheritance diagram for nipy.modalities.fmri.fmristat.model:
This module defines the two default GLM passes of fmristat
Bases: object
Second pass through fmri_image.
Parameters : | fmri_image : FmriImageList
formula : nipy.modalities.fmri.formula.Formula rho : Image
outputs : : volume_start_times : : |
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Methods
execute |
Bases: object
These images have their values filled in as the model is fit, and are saved to disk after being completely filled in.
They are saved to disk by calling the ‘save’ method.
The __getitem__ and __setitem__ calls are delegated to a private Image. An exception is raised if trying to get/set data after the data has been saved to disk.
Methods
save |
Save current Image data to disk
Bases: object
First pass through fmri_image.
Parameters : | fmri_image : FmriImageList or 4D image
formula : nipy.modalities.fmri.formula.Formula outputs : : volume_start_times : : |
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Methods
execute |
Estimate AR parameters using bias correction from fMRIstat.
Parameters : | resid: residual image : model: an OLS model used to estimate residuals : |
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Returns : | output : : |
Write out results of a given output.
In the regression setting, results is generally going to be a scipy.stats.models.model.LikelihoodModelResults instance.
Generator for the models for a pass of fmristat analysis.
Create an output file of the AR1 parameter from the OLS pass of fmristat.
Parameters : | outfile : : fmri_image : FmriImageList or 4D image
clobber : bool
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Returns : | regression_output : : |
output F
Parameters : | outfile : : contrast : : fmri_image : FmriImageList
clobber : bool
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Parameters : | outbase : string
contrast : a TContrast fmri_image : FmriImageList
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Create an output file of the residuals parameter from the OLS pass of fmristat.
Uses affine part of the first image to output resids unless fmri_image is an Image.
Parameters : | outfile : : fmri_image : FmriImageList or 4D image
clobber : bool
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Returns : | regression_output : : |
Generator for results from an iterator that returns (index, data, model) tuples.
See model_generator.