print.summary.fsim: Summarise information from FSIM estimation

In fsemipar: Estimation, Variable Selection and Prediction for Functional Semiparametric Models

Summarise information from FSIM estimation

Description

summary and print functions for fsim.kNN.fit, fsim.kNN.fit.optim, fsim.kernel.fit and fsim.kernel.fit.optim.

Usage

## S3 method for class 'fsim.kernel'
print(x, ...)
## S3 method for class 'fsim.kNN'
print(x, ...)
## S3 method for class 'fsim.kernel'
summary(object, ...)
## S3 method for class 'fsim.kNN'
summary(object, ...)

Arguments

x	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.
object	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).

Value

• 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.

Author(s)

German Aneiros Perez [e-mail]

Silvia Novo Diaz [e-mail]

See Also

fsim.kernel.fit and fsim.kNN.fit.

fsemipar documentation built on May 29, 2024, 1:31 a.m.