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Tip revision: 3d1203b48f7c62e32d347f479e8b295770f2f806 authored by Jona Cederbaum on 11 September 2020, 11:20:02 UTC
version 0.3.1
Tip revision: 3d1203b
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 <>
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
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
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