Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.3.1), mgcv (≥ 1.8-12), data.table (≥ 1.9-5), refund (≥ 0.1-16) |
| Imports: | methods, parallel, MASS, Matrix |
| Published: | 2017-09-23 |
| 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 |
| Reference manual: | sparseFLMM.pdf |
| Package source: | sparseFLMM_0.2.0.tar.gz |
| Windows binaries: | r-devel: sparseFLMM_0.2.0.zip, r-release: sparseFLMM_0.2.0.zip, r-oldrel: sparseFLMM_0.2.0.zip |
| OS X El Capitan binaries: | r-release: sparseFLMM_0.2.0.tgz |
| OS X Mavericks binaries: | r-oldrel: sparseFLMM_0.2.0.tgz |
| Old sources: | sparseFLMM archive |
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