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longke  

Nonparametric Predictive Model for Sparse and Irregular Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("longke", "0.1.0")



Attach the package and use:
library("longke")
Maintained by
Shixuan Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-07
Latest Update: 2023-07-07
Description:
The proposed method aims at predicting the longitudinal mean response trajectory by a kernel-based estimator. The kernel estimator is constructed by imposing weights based on subject-wise similarity on L2 metric space between predictor trajectories as well as time proximity. Users could also perform variable selections to derive functional predictors with predictive significance by the proposed multiplicative model with multivariate Gaussian kernels.
How to cite:
Shixuan Wang (2023). longke: Nonparametric Predictive Model for Sparse and Irregular Longitudinal Data. R package version 0.1.0, https://cran.r-project.org/web/packages/longke. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited longke R package
View longke citation profile
Other R packages that longke depends, imports, suggests or enhances
Complete documentation for longke
Functions, R codes and Examples using the longke R package
Some associated functions: FPCA_trajectory . KE_bwselection . KE_fit . KE_trajSCB . datagen . longke-package . 
Some associated R codes: FPCA_trajectory.R . KE_bwselection.R . KE_fit.R . KE_trajSCB.R . datagen.R . longke-package.R .  Full longke package functions and examples
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