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: |
|
---|---|
Returns: |
tf – True if the contrast |
Return type: |
bool |
>>> 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
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.tools.tools.isestimable.html