Evaluate log marginal posterior of a BMA model
lpost = bmapost_g(y,x,vin,g)
* y = dependent variable vector
* x = explanatory variables matrix
* vin = a 1xk vector of columns to use from x
* g = g-prior
* lpost = log marginal posterior, a scalar containing the log marginal