Inheritance diagram for nipy.modalities.fmri.fmristat.outputters:
Convenience functions and classes for statistics on images.
These functions and classes support the return of statistical test results from iterations through data.
The basic container here is the RegressionOutput. This does two basic things:
We use these by other objects (see algorithms.statistics.fmri.fmristat) slicing data out of images, fitting models to the data to create results objects, and then passing them to these here RegressionOutput containers via call, to get useful arrays, and then putting the results back into the RegressionOutput containers via slicing (__setitem__).
Bases: object
A class to output things in GLM passes through arrays of data.
Methods
__call__(x) |
Parameters: | img : Image instance
fn : callable
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Bases: object
A class to output more than one thing from a GLM pass through arrays of data.
Methods
__call__(x) |
Initialize regression output list
Parameters: | imgs : list
fn : callable
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Bases: nipy.modalities.fmri.fmristat.outputters.RegressionOutputList
Output contrast related to a T contrast from a GLM pass through data.
Methods
__call__(x) |
Compute the usual AR(1) parameter on the residuals from a regression.
This convenience function outputs the results of an Fcontrast from a regression
Parameters: | results : object
contrast : array
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Returns: | F : array
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Convenience function to collect t contrast results
Parameters: | results : object
contrast : array
retvals : sequence, optional
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Returns: | res_list : list
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This convenience function outputs the residuals from a regression