Calculates linear predictors for different models
Calculates the (unobservable) linear predictors for probability models.
linearPredictors(x, ...) ## S3 method for class 'probit' 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, Arne Henningsen
probit and probit-methods.
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
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