flm_cate: Functional Linear Model Analysis

In Actigraphy: Actigraphy Data Analysis

Description

A function that does functional linear model analysis.

Usage

flm_cate(FD, basistype="fourier", nbasis=9, norder=4)

Arguments

FD	The list from the function fda.smoothdata.
basistype	A string specifying either "fourier" and "bspline".
nbasis	The number of basis functions to be used for functional linear model analysis. Default value is 9.
norder	an integer specifying the order of b-splines, which is one higher than their degree. The default of 4 gives cubic splines.

Value

A list consisting of three components as follows:

freg	A fRegress fit object containing the intercept and coefficient functions (check function fRegress for details)
fregstd	A list containing the standard error functions of the intercept and coefficient functions.

Author(s)

William D. Shannon, Tao Li, Hong Xian, Jia Wang, Elena Deych, Carlos Gonzalez

Examples

	data(act_29pt)
	data(clinic_29pt_ahi)
	
	data <- act_29pt
	ahi <- clinic_29pt_ahi
	
	matchid  <- fda.matchid(data, ahi, "contin")
	FDcont <- fda.smoothdata(matchid)
	
	geftFDcont <- flm_cate(FDcont)

Actigraphy documentation built on March 26, 2020, 6:07 p.m.