Methods for probit models
# S3 method for probit
fitted(object, ... )# S3 method for probit
logLik(object, ... )
# S3 method for probit
nobs(object, ... )
# S3 method for probit
nObs(x, ... )
# S3 method for probit
print( x, digits = max(3, getOption("digits") - 3), ... )
object of class probit.
the minimum number of significant digits of the coefficients to be printed.
further arguments (currently ignored).
The fitted method returns a vector of fitted values (probabilities).
The logLik method returns the log likelihood value of the model.
The nobs and nObs methods return the number of observations.
The print method prints the call and the estimated coefficients.
Furthermore, some standard methods can be applied to probit models:
the coef method returns the vector
of the estimated parameters.
The df.residual method returns the degrees of freedom
of the residuals.
The lrtest method can be used to perform
likelihood-ratio tests.
The stdEr method returns the vector
of the standard errors of the estimated parameters.
The vcov method returns the variance covariance matrix
of the estimated coefficients.
The methods linearPredictors.probit,
model.frame.binaryChoice,
model.matrix.binaryChoice,
residuals.probit, and summary.probit
are described at seperate help pages.