summary and print functions for fsim.kNN.fit, fsim.kNN.fit.optim, fsim.kernel.fit and fsim.kernel.fit.optim.
# S3 method for fsim.kernel
print(x, ...)
# S3 method for fsim.kNN
print(x, ...)
# S3 method for fsim.kernel
summary(object, ...)
# S3 method for fsim.kNN
summary(object, ...)The matched call.
The optimal value of the tunning parameter (h.opt or k.opt).
Coefficients of \(\hat{\theta}\) in the B-spline basis (theta.est: a vector of length(order.Bspline+nknot.theta).
Minimum value of the CV function, i.e. the value of CV for theta.est and h.opt/k.opt.
R squared.
Residual variance.
Residual degrees of freedom.
Output of the fsim.kernel.fit, fsim.kernel.fit.optim, fsim.kNN.fit or fsim.kNN.fit.optim functions (i.e. an object of the class fsim.kernel or fsim.kNN).
Further arguments.
Output of the fsim.kernel.fit, fsim.kernel.fit.optim, fsim.kNN.fit or fsim.kNN.fit.optim functions (i.e. an object of the class fsim.kernel or fsim.kNN).
German Aneiros Perez german.aneiros@udc.es
Silvia Novo Diaz snovo@est-econ.uc3m.es
fsim.kernel.fit and fsim.kNN.fit.