Package: sparseFLMM
Type: Package
Title: Functional Linear Mixed Models for Irregularly or Sparsely
        Sampled Data
Version: 0.3.1
Author: Jona Cederbaum
Maintainer: Jona Cederbaum <Jona.Cederbaum@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'
        'fpc_estimation.R' 'fpc_famm_estimation.R'
        'get_cross_products.R' 'mean_estimation.R'
        'tri_constraint_constructor.R' 'useful_functions.R' 'zzz.R'
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-11 11:11:30 UTC; Jona
Repository: CRAN
Date/Publication: 2020-09-11 12:20:02 UTC