npmlda: Nonparametric Models for Longitudinal Data

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.

Version: 1.0.0
Depends: R (≥ 3.0)
Imports: splines
Published: 2018-02-12
Author: Xin Tian, Colin Wu
Maintainer: Xin Tian <tianxtt at gmail.com>
BugReports: https://github.com/npmldabook/npmlda/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/npmldabook/npmlda/
NeedsCompilation: no
CRAN checks: npmlda results

Downloads:

Reference manual: npmlda.pdf
Package source: npmlda_1.0.0.tar.gz
Windows binaries: r-devel: npmlda_1.0.0.zip, r-release: npmlda_1.0.0.zip, r-oldrel: npmlda_1.0.0.zip
OS X binaries: r-release: npmlda_1.0.0.tgz, r-oldrel: npmlda_1.0.0.tgz

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