Inheritance diagram for nipy.algorithms.statistics.regression:
This module provides various convenience functions for extracting statistics from regression analysis techniques to model the relationship between the dependent and independent variables.
As well as a convenience class to output the result, RegressionOutput
Bases: object
A class that whose instances can estimate AR(p) coefficients from residuals
Parameters : |
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Bases: nipy.algorithms.statistics.regression.RegressionOutput
Output an array from a GLM pass through data.
By default, the function called is output_resid, so residuals are output.
Bases: object
A class to output things in GLM passes through arrays of data.
Parameters : | img : the output Image fn : a function that is applied to a scipy.stats.models.model.LikelihoodModelResults instance |
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Bases: object
A class to output more than one thing from a GLM pass through arrays of data.
Parameters : | imgs : the list of output images fn : a function that is applied to a scipy.stats.models.model.LikelihoodModelResults instance |
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Bases: nipy.algorithms.statistics.regression.RegressionOutputList
Output contrast related to a T contrast from a GLM pass through data.
Compute the usual AR(1) parameter on the residuals from a regression.
This convenience function outputs the results of an Fcontrast from a regression
This convenience function outputs the results of a Tcontrast from a regression
This convenience function outputs the residuals from a regression