spreg.dgp.dgp_sperror¶

spreg.dgp.dgp_sperror(u, xb, w, lam=0.5, model='sar', imethod='power_exp', ybin=False)[source]¶

dgp_sperror: generates y for spatial error model with given xb, weights,: spatial parameter lam, error term, method for inverse transform

Examples

>>> import numpy as np
>>> import libpysal
>>> from spreg import make_x, make_xb, dgp_sperror
>>> 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"
>>> dgp_sperror(u, xb, w)[0:5,:]
array([[5.21425813],
       [3.03696553],
       [1.12192347],
       [1.15756751],
       [4.42322667]])