nispace.stats.coloc.mlr

nispace.stats.coloc.mlr(x, y, adj_r2=True, intercept=True)[source]

Compute Regression of predictor(s) x on target y. Requires numpy arrays with columns as predictors/target.

Parameters:

  • x (numpy.ndarray) – shape (n_values, n_predictors)

  • y (numpy.ndarray) – shape (n_values, 1) or (n_values,)

  • adj_r2 (bool, optional) – Calculate adjusted R2. Defaults to True.

  • intercept (bool, optional) – Return intercept in leading position of beta array or omit

Returns:

(adjusted) R2 array: parameters, starting with or w/o intercept

Return type:

float