statsmodels.tools.tools.isestimable¶
-
statsmodels.tools.tools.
isestimable
(c, d)[source]¶ True if (Q, P) contrast c is estimable for (N, P) design d.
From an Q x P contrast matrix C and an N x P design matrix D, checks if the contrast C is estimable by looking at the rank of
vstack([C,D])
and verifying it is the same as the rank of D.- Parameters
- carray_like
A contrast matrix with shape (Q, P). If 1 dimensional assume shape is (1, P).
- darray_like
The design matrix, (N, P).
- Returns
- bool
True if the contrast c is estimable on design d.
Examples
>>> d = np.array([[1, 1, 1, 0, 0, 0], ... [0, 0, 0, 1, 1, 1], ... [1, 1, 1, 1, 1, 1]]).T >>> isestimable([1, 0, 0], d) False >>> isestimable([1, -1, 0], d) True