Package: sparseFLMM
Type: Package
Title: Functional Linear Mixed Models for Irregularly or Sparsely
        Sampled Data
Version: 0.4.3
Authors@R: c(person("Jona", "Cederbaum", email = "Jona.Cederbaum@gmail.com",
                  role = c("aut", "cre")), 
                  person("Alexander", "Volkmann", role = c("aut")), 
                  person("Almond", "Stöcker", role = c("aut")))
Maintainer: Almond Stoecker <Almond.Stoecker@gmail.com>
Description: Estimation of functional linear mixed models for
        irregularly or sparsely sampled data based on functional
        principal component analysis.
License: GPL-2
LazyData: TRUE
Depends: R (>= 3.3), mgcv (>= 1.8-12), refund (>= 0.1-22)
Imports: methods, parallel, MASS, Matrix, data.table
Suggests:
Collate: 'call_all_functions.R' 'cov_estimation_tri.R'
        'cov_estimation_tri_constr.R' 'cov_estimation_whole.R'
        'cov_estimation_tri_constr_nest.R' 'fpc_estimation.R'
        'fpc_famm_estimation.R' 'get_cross_products.R'
        'mean_estimation.R' 'tri_constraint_constructor.R'
        'useful_functions.R' 'zzz.R'
RoxygenNote: 7.3.2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-21 07:27:22 UTC; root
Config/pak/sysreqs: cmake make
Repository: https://jonacrc.r-universe.dev
Date/Publication: 2025-06-25 23:15:29 UTC
RemoteUrl: https://github.com/jonacrc/sparseflmm
RemoteRef: HEAD
RemoteSha: 59f336f4b7a0dd6581e4f756fd019bb8978b7c41
Author: Jona Cederbaum [aut, cre],
  Alexander Volkmann [aut],
  Almond Stöcker [aut]