LocalLm.Beta.t0: Least square local linear fit at t0
In npmldabook/npmlda: Non-Parametric Models for Longitudinal Data Analysis

Least square local linear fit at t0

1	LocalLm.Beta.t0(t0, Tvec, X1, X2, X3, Yvec, Bndwdth, Weight)

`t0`	a given time point
`Tvec, Yvec`	numeric vectors of time and outcome values, Tvec and Yvec must have the same length.
`X1, X2, X3`	three covariate vectors
`Bndwdth`	a bandwidth of the Epanechnikov kernel
`Weight`	the weight vector

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

1	# see usage of LocalLm.Beta

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

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