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:Xin Tian, Colin Wu

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Bug tracker:https://github.com/npmldabook/npmlda/issues

On CRAN:

21 exports 0.62 score 0 dependencies 8 scripts 129 downloads

Last updated 6 years agofrom:445f2085b5. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:CVlmCVsplineDXikernel.fitKernel2DKernel3DKernel3D.S2Kh.BwKh.EpKh.NmKh2DKh3DLocalLmLocalLm.BetaLocalLm.Beta.t0LocalLm.X0Newton1varNewton2varNW.WtKernelspline.fitXi

Dependencies: