spreg.dgp.dgp_spdurbin¶
- spreg.dgp.dgp_spdurbin(u, xb, wxg, w, rho=0.5, imethod='power_exp', ybin=False)[source]¶
- dgp_spdurbin: generates y for spatial Durbin model with xb, wxg, weights,
spatial parameter rho, error term, method for inverse transform
Examples
>>> import numpy as np >>> import libpysal >>> from spreg import make_x, make_xb, make_wx, make_wxg, dgp_spdurbin >>> rng = np.random.default_rng(12345) >>> u = make_x(rng,25,mu=[0],varu=[1], method='normal') >>> x = make_x(rng,25,mu=[0],varu=[1]) >>> xb = make_xb(x,[1,2]) >>> w = libpysal.weights.lat2W(5, 5) >>> w.transform = "r" >>> wx = make_wx(x,w) >>> wxg = make_wxg(wx,[2]) >>> dgp_spdurbin(u,xb,wxg,w)[0:5,:] array([[18.06895353], [15.18686487], [11.95080505], [12.55220513], [15.75805066]])