Statistical Tests for Functional Data — flm.test • fdars

Functions for hypothesis testing with functional data. Test for Functional Linear Model

Usage

flm.test(fdataobj, y, B = 500, ...)

Arguments

fdataobj: An object of class 'fdata' (functional covariate).
y: Response vector.
B: Number of bootstrap samples for p-value computation.
...: Additional arguments.

Value

A list of class 'htest' with components:

statistic: The test statistic
p.value: Bootstrap p-value
method: Name of the test

Details

Tests the goodness-of-fit for a functional linear model using the projected Cramer-von Mises statistic.

Examples

fd <- fdata(matrix(rnorm(200), 20, 10))
y <- rnorm(20)
# test_result <- flm.test(fd, y, B = 100)