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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
DOI: 10.32614/CRAN.package.npmlda
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

Documentation:

Reference manual: npmlda.pdf

Downloads:

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
macOS binaries: r-release (arm64): npmlda_1.0.0.tgz, r-oldrel (arm64): npmlda_1.0.0.tgz, r-release (x86_64): npmlda_1.0.0.tgz, r-oldrel (x86_64): npmlda_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=npmlda to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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