Bases: object
Methods
pvalue | |
stat | Constants/functions for interpreting results of os.stat() and os.lstat(). |
summary | |
zscore(pvalue) | Return the z-score corresponding to a given p-value. |
tiny is a numerical constant for computations.
Return a parametric approximation of the p-value associated with the null hypothesis: (H0) ‘contrast equals baseline’
Return the decision statistic associated with the test of the null hypothesis: (H0) ‘contrast equals baseline’
Return a dictionary containing the estimated contrast effect, the associated ReML-based estimation variance, and the estimated degrees of freedom (variance of the variance).
Return a parametric approximation of the z-score associated with the null hypothesis: (H0) ‘contrast equals baseline’
Bases: object
Methods
contrast(dim[, type, tiny, dofmax]) | |
fit | |
save |
Specify and estimate a constrast
c must be a numpy.ndarray (or anything that numpy.asarray can cast to a ndarray). For a F contrast, c must be q x p where q is the number of contrast vectors and p is the total number of regressors.
Save fit into a .npz file