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: 2026-10-18 07:00:51 UTC; root
Author: Shixuan Wang [aut, cre], Seonjin Kim [aut], Hyunkeun Cho [aut],
        Won Chang [aut]
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://shixuanwang43.r-universe.dev
Date/Publication: 2023-07-07 14:50:02 UTC
RemoteUrl: https://github.com/cran/longke
RemoteRef: HEAD
RemoteSha: d41855db12f27139e23d27822f60c89cfda68b99