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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "longke" in publications use:'
type: software
license: GPL-3.0-only
title: 'longke: Nonparametric Predictive Model for Sparse and Irregular Longitudinal
  Data'
version: 0.1.0
doi: 10.32614/CRAN.package.longke
abstract: 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.
authors:
- name: Shixuan Wang
  email: wangs43@miamioh.edu
- name: Seonjin Kim
  email: kims20@miamioh.edu
- name: Hyunkeun Cho
  email: hyunkeun-cho@uiowa.edu
- name: Won Chang
  email: changwn@ucmail.uc.edu
repository: https://shixuanwang43.r-universe.dev
commit: d41855db12f27139e23d27822f60c89cfda68b99
date-released: '2023-07-07'
contact:
- name: Shixuan Wang
  email: wangs43@miamioh.edu