sparseFLMM: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data

Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.

Version: 0.1.1
Depends: R (≥ 3.3.1), mgcv (≥ 1.8-12), data.table (≥ 1.9-5), refund (≥ 0.1-16)
Imports: methods, parallel, MASS, Matrix
Published: 2017-06-08
Author: Jona Cederbaum
Maintainer: Jona Cederbaum <Jona.Cederbaum at stat.uni-muenchen.de>
License: GPL-2
NeedsCompilation: no
In views: FunctionalData
CRAN checks: sparseFLMM results

Downloads:

Reference manual: sparseFLMM.pdf
Package source: sparseFLMM_0.1.1.tar.gz
Windows binaries: r-devel: sparseFLMM_0.1.1.zip, r-release: sparseFLMM_0.1.1.zip, r-oldrel: sparseFLMM_0.1.1.zip
OS X El Capitan binaries: r-release: sparseFLMM_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: sparseFLMM_0.1.1.tgz
Old sources: sparseFLMM archive

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