spreg.dgp.dgp_probit

spreg.dgp.dgp_probit(u, xb)

dgp_probit: generates y for non-spatial probit process with given xb

and error u y is taken when linear model prediction > its mean

Examples

>>> import numpy as np
>>> import libpysal
>>> from spreg import make_x, dgp_probit
>>> 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])
>>> dgp_probit(u,xb)[0:5,:]
array([[1],
       [0],
       [0],
       [0],
       [1]])