Kernel3D.S2: 3-dim Kernel function for longitudinal data to get...

In npmldabook/npmlda: Non-Parametric Models for Longitudinal Data Analysis

Description

3-dim Kernel function for longitudinal data to get Pr(y2(t2)|x(t1))

Usage

Kernel3D.S2(IDls = ID, Y, Time, X, T1, T2, X0, Bndwdth1, Bndwdth2, Bndwdth3)

Arguments

IDls	the vector of subject ID in a longitudinal sample
Y, X, Time	numeric vectors of outcome, covariate and time of the the same length
T1, T2	twp given time points
X0	a given covariate value
Bndwdth1, Bndwdth2, Bndwdth3	three bandwidths around two time and one covariate value

Value

3-dim Kernel function results

References

Wu, C.O. and Tian, X. Nonparametric Models for Longitudinal Data: With Implementation in R. Chapman & Hall/CRC. 2018.

npmldabook/npmlda documentation built on May 25, 2019, 10:41 p.m.