FPLMBsplines_fit: FPLM fit with splines

In msalibian/RobustFPLM: Robust estimators for Functional Partial Linear Models

Description

FPLM fit with splines

Usage

FPLMBsplines_fit(y, x, u, t, freq, spl, norder, fLoss)

Arguments

y	vector of n responses
x	matrix of functional covariates (n x p_1)
u	vector of n observations for g(u_i)
t	vector of "times" where X was observed "x[i, j] = X_i( t_j )"
freq	description
spl	description
norder	description
fLoss	loss function to be minimize (see Details)

Details

Valid options for the loss function are 'ls', 'lad', 'lmrob', 'huang'.

Value

A list including several.

References

Paper

Examples

# Example.

msalibian/RobustFPLM documentation built on July 4, 2020, 5:46 p.m.