linearPredictors {sampleSelection} | R Documentation |
Calculates the (unobservable) linear predictors for probability models.
linearPredictors(x, ...)
x |
model of an appropriate class |
... |
other arguments depending on the method |
It is a generic function with a method for 'probit'.
A matrix with nrow equal to the number of observations and one column: the linear predictors for observations
Ott Toomet otoomet@ut.ee
data(Mroz87) Mroz87$kids <- ( Mroz87$kids5 + Mroz87$kids618 > 0 ) a <- probit(lfp ~ kids + educ + hushrs + huseduc + huswage + mtr + motheduc, data=Mroz87) b <- linearPredictors(a) cor(Mroz87$lfp, b) # should be positive and highly significant