Package: longke
Type: Package
Title: Nonparametric Predictive Model for Sparse and Irregular
        Longitudinal Data
Version: 0.1.0
Authors@R: c(person("Shixuan Wang", role = c("aut", "cre"),
             email = "wangs43@miamioh.edu"),
             person("Seonjin Kim", role = "aut",
             email = "kims20@miamioh.edu"),
             person("Hyunkeun Cho", role = "aut",
             email = "hyunkeun-cho@uiowa.edu"),
             person("Won Chang", role = "aut",
             email = "changwn@ucmail.uc.edu")
             )
Maintainer: Shixuan Wang <wangs43@miamioh.edu>
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.
Imports: tidyr, bvls, fdapace, mvtnorm, dplyr, purrr
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-07-07 04:29:37 UTC; wangshixuan
Author: Shixuan Wang [aut, cre],
  Seonjin Kim [aut],
  Hyunkeun Cho [aut],
  Won Chang [aut]
Repository: CRAN
Date/Publication: 2023-07-07 15:50:02 UTC
Built: R 4.6.0; ; 2026-04-29 21:10:30 UTC; unix
