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npmlda  

Nonparametric Models for Longitudinal Data
View on CRAN: Click here


Download and install npmlda package within the R console
Install from CRAN:
install.packages("npmlda")

Install from Github:
library("remotes")
install_github("cran/npmlda")

Install by package version:
library("remotes")
install_version("npmlda", "1.0.0")



Attach the package and use:
library("npmlda")
Maintained by
Xin Tian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-12
Latest Update: 2018-02-12
Description:
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.
How to cite:
Xin Tian (2018). npmlda: Nonparametric Models for Longitudinal Data. R package version 1.0.0, https://cran.r-project.org/web/packages/npmlda. Accessed 18 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited npmlda R package
View npmlda citation profile
Other R packages that npmlda depends, imports, suggests or enhances
Complete documentation for npmlda
Functions, R codes and Examples using the npmlda R package
Some associated functions: BDIdata . BMACS . CVlm . CVspline . HSCT . Kh.Bw . Kh.Ep . Kh.Nm . LocalLm.X0 . LocalLm . NW.WtKernel . Spline.fit . kernel.fit . 
Some associated R codes: BDIdata.R . BMACS.R . HSCT.R . LocalLmfit.R . Splinefit.R . kernel.R .  Full npmlda package functions and examples
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