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
npmlda_1.2.0.zip(r-4.7-any)npmlda_1.2.0.zip(r-4.6-any)npmlda_1.2.0.zip(r-4.5-any)
npmlda_1.2.0.tgz(r-4.6-any)npmlda_1.2.0.tgz(r-4.5-any)
npmlda_1.2.0.tar.gz(r-4.7-any)npmlda_1.2.0.tar.gz(r-4.6-any)
npmlda_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:445f2085b5. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 105 | ||
| source / vignettes | OK | 143 | ||
| linux-release-x86_64 | WARNING | 135 | ||
| macos-release-arm64 | WARNING | 189 | ||
| macos-oldrel-arm64 | WARNING | 203 | ||
| windows-devel | WARNING | 64 | ||
| windows-release | WARNING | 62 | ||
| windows-oldrel | WARNING | 59 | ||
| wasm-release | OK | 87 |
Exports:CVlmCVsplineDXikernel.fitKernel2DKernel3DKernel3D.S2Kh.BwKh.EpKh.NmKh2DKh3DLocalLmLocalLm.BetaLocalLm.Beta.t0LocalLm.X0Newton1varNewton2varNW.WtKernelspline.fitXi
Dependencies:
