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npmlda (version 1.0.0)

Nonparametric Models for Longitudinal Data

Description

Support the book: Wu CO and Tian X (2018). Nonparametric Models for Longitudinal Data. Chapman & Hall/CRC (to appear); and provide fit for using global and local smoothing methods for the conditional-mean and conditional-distribution based models with longitudinal Data.

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Install

install.packages('npmlda')

Monthly Downloads

123

Version

1.0.0

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

0

Forks

2

Maintainer

Xin Tian

Last Published

February 12th, 2018

Functions in npmlda (1.0.0)

LocalLm

Local linear fit with Epanechnikov kernel
LocalLm.X0

Local linear fit at X0 with Epanechnikov kernel
NW.WtKernel

Title Nadaraya-Watson Kernel estimator at x0
HSCT

HSCT dataset
Spline.fit

Polynomial-spline fit with equally-spaced knots
Kh.Bw

Biweight kernel
CVlm

Leave one-subject cross-validation score for local linear fit
Kh.Ep

Epanechnikov Kernel
BDIdata

BDIdata dataset
CVspline

Leave one-subject cross-validation score for spline fit
kernel.fit

Nadaraya-Watson Kernel estimator
BMACS

BMACS CD4 dataset
Kh.Nm

Normal kernel