Package: npmlda 1.2.0
npmlda: Non-Parametric Models for Longitudinal Data Analysis
Support the book: Wu CO and Tian X (2018). Nonparametric Models for Longitudinal Data: With Implementation in R. (Chapman & Hall/CRC Monographs on Statistics & Applied Probability); Present global and local smoothing methods for the conditional-mean and conditional-distribution based nonparametric models with longitudinal Data.
Authors:
npmlda_1.2.0.tar.gz
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npmlda.pdf |npmlda.html✨
npmlda/json (API)
| # Install 'npmlda' in R: |
| install.packages('npmlda', repos = c('https://npmldabook.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/npmldabook/npmlda/issues
Last updated 6 years agofrom:445f2085b5. Checks:1 OK, 7 WARNING. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 16 2025 |
| R-4.5-win | WARNING | Feb 16 2025 |
| R-4.5-mac | WARNING | Feb 16 2025 |
| R-4.5-linux | WARNING | Feb 16 2025 |
| R-4.4-win | WARNING | Feb 16 2025 |
| R-4.4-mac | WARNING | Feb 16 2025 |
| R-4.3-win | WARNING | Feb 16 2025 |
| R-4.3-mac | WARNING | Feb 16 2025 |
Exports:CVlmCVsplineDXikernel.fitKernel2DKernel3DKernel3D.S2Kh.BwKh.EpKh.NmKh2DKh3DLocalLmLocalLm.BetaLocalLm.Beta.t0LocalLm.X0Newton1varNewton2varNW.WtKernelspline.fitXi
Dependencies:
