Package: sparseFLMM Type: Package Title: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data Version: 0.1.0 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 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: 5.0.1 NeedsCompilation: no Packaged: 2017-01-13 20:11:24 UTC; Jona Repository: CRAN Date/Publication: 2017-01-14 12:12:46