add_constant(data[, prepend, has_constant]) |
This appends a column of ones to an array if prepend==False. |
categorical(data[, col, dictnames, drop]) |
Returns a dummy matrix given an array of categorical variables. |
chain_dot(*arrs) |
Returns the dot product of the given matrices. |
clean0(matrix) |
Erase columns of zeros: can save some time in pseudoinverse. |
drop_missing(Y[, X, axis]) |
Returns views on the arrays Y and X where missing observations are dropped. |
fullrank(X[, r]) |
Return a matrix whose column span is the same as X. |
isestimable(C, D) |
True if (Q, P) contrast C is estimable for (N, P) design D |
maybe_unwrap_results(results) |
Gets raw results back from wrapped results. |
monotone_fn_inverter(fn, x[, vectorized]) |
Given a monotone function x (no checking is done to verify monotonicity) and a set of x values, return an linearly interpolated approximation to its inverse from its values on x. |
nan_dot(A, B) |
Returns np.dot(left_matrix, right_matrix) with the convention that nan * 0 = 0 and nan * x = nan if x != 0. |
pinv_extended(X[, rcond]) |
Return the pinv of an array X as well as the singular values used in computation. |
rank(X[, cond]) |
Return the rank of a matrix X based on its generalized inverse, not the SVD. |
recipr(X) |
Return the reciprocal of an array, setting all entries less than or equal to 0 to 0. |
recipr0(X) |
Return the reciprocal of an array, setting all entries equal to 0 as 0. |
unsqueeze(data, axis, oldshape) |
Unsqueeze a collapsed array |