plot_ff_coeffs: Image plot of bivariate regression coefficient functions of a...

In robflreg: Robust Functional Linear Regression

Image plot of bivariate regression coefficient functions of a function-on-function regression model

Description

This function is used to obtain image plots of bivariate regression coefficient functions of a function-on-function regression model based on output object obtained from get.ff.coeffs.

Usage

plot_ff_coeffs(object, b)

Arguments

object	The output object of get.ff.coeffs.
b	An integer value indicating which regression parameter function to be plotted.

Value

No return value, called for side effects.

Author(s)

Ufuk Beyaztas and Han Lin Shang

References

D. Nychka and R. Furrer and J. Paige and S. Sain (2021) fields: Tools for spatial data. R package version 14.1, URL: https://github.com/dnychka/fieldsRPackage.

Examples

sim.data <- generate.ff.data(n.pred = 5, n.curve = 200, n.gp = 101)
Y <- sim.data$Y
X <- sim.data$X
gpY = seq(0, 1, length.out = 101) # grid points of Y
gpX <- rep(list(seq(0, 1, length.out = 101)), 5) # grid points of Xs
model.fit <- rob.ff.reg(Y, X, model = "full", emodel = "classical", 
                        gpY = gpY, gpX = gpX)
coefs <- get.ff.coeffs(model.fit)
plot_ff_coeffs(object = coefs, b = 1)

robflreg documentation built on May 29, 2024, 3:55 a.m.