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Tip revision: e4ebd38f74066863aedb5f469cc7e587ffbede92 authored by Jona Cederbaum on 23 September 2017, 15:10:15 UTC
version 0.2.0
Tip revision: e4ebd38
Package: sparseFLMM
Type: Package
Title: Functional Linear Mixed Models for Irregularly or Sparsely
        Sampled Data
Version: 0.2.0
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 (>= 3.3.1), mgcv (>= 1.8-12), data.table (>= 1.9-5), refund
        (>= 0.1-16)
Imports: methods, parallel, MASS, Matrix
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: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-23 15:46:13 UTC; Jona
Repository: CRAN
Date/Publication: 2017-09-23 16:10:15 UTC
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