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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 |
| 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 |
| 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 |
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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.