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Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.
| Version: | 0.4.1 |
| Depends: | R (≥ 3.3), mgcv (≥ 1.8-12), refund (≥ 0.1-22) |
| Imports: | methods, parallel, MASS, Matrix, data.table |
| Published: | 2021-06-19 |
| Author: | Jona Cederbaum [aut, cre], Alexander Volkmann [aut], Almond Stöcker [aut] |
| Maintainer: | Jona Cederbaum <Jona.Cederbaum at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | FunctionalData |
| CRAN checks: | sparseFLMM results |
| Reference manual: | sparseFLMM.pdf |
| Package source: | sparseFLMM_0.4.1.tar.gz |
| Windows binaries: | r-devel: sparseFLMM_0.4.1.zip, r-release: sparseFLMM_0.4.1.zip, r-oldrel: sparseFLMM_0.4.1.zip |
| macOS binaries: | r-release (arm64): sparseFLMM_0.4.1.tgz, r-oldrel (arm64): sparseFLMM_0.4.1.tgz, r-release (x86_64): sparseFLMM_0.4.1.tgz, r-oldrel (x86_64): sparseFLMM_0.4.1.tgz |
| Old sources: | sparseFLMM archive |
| Reverse depends: | randnet |
| Reverse imports: | elastes, MJMbamlss, multifamm |
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