Kernel2D: 2-dim Kernel function for longitudinal data
In npmldabook/npmlda: Non-Parametric Models for Longitudinal Data Analysis
Description
Usage
Arguments
Value
References
Description
2-dim Kernel function for longitudinal data
Usage
1
Kernel2D(IDls, Xvec, Yvec, X01, X02, Bndwdth1, Bndwdth2)
Arguments
IDls
the vector of subject ID in a longitudinal sample
Xvec,
Yvec numeric vectors of data values, Xvec and Yvec must have the same length
X01,
X02 two given values of Xvec
Bndwdth1, Bndwdth2
two given bandwidths
Value
2-dim kernel fit result
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.
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Description Usage Arguments Value References
Description
2-dim Kernel function for longitudinal data
Usage
1 | Kernel2D(IDls, Xvec, Yvec, X01, X02, Bndwdth1, Bndwdth2)
|
Arguments
IDls |
the vector of subject ID in a longitudinal sample |
Xvec, |
Yvec numeric vectors of data values, Xvec and Yvec must have the same length |
X01, |
X02 two given values of Xvec |
Bndwdth1, Bndwdth2 |
two given bandwidths |
Value
2-dim kernel fit result
References
Wu, C.O. and Tian, X. Nonparametric Models for Longitudinal Data: With Implementation in R. Chapman & Hall/CRC. 2018.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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