Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.connectome.prec_to_partial¶
- nilearn.connectome.prec_to_partial(precision)[source]¶
Return partial correlation matrix for a given precision matrix.
- Parameters:
- precision2D numpy.ndarray
The input precision matrix.
- Returns:
- partial_correlation2D numpy.ndarray
The 2D output partial correlation matrix.
Examples
>>> import numpy as np >>> from nilearn.connectome import prec_to_partial >>> precision = np.array([[2.0, -1.0], [-1.0, 2.0]]) >>> prec_to_partial(precision) array([[1. , 0.5], [0.5, 1. ]])