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Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.3), mgcv (≥ 1.8-12) |
| Imports: | methods, parallel, MASS, Matrix, mvtnorm |
| Published: | 2018-04-19 |
| Author: | Sonja Greven, Jona Cederbaum |
| Maintainer: | Jona Cederbaum <Jona.Cederbaum at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | FunctionalData |
| CRAN checks: | denseFLMM results |
| Reference manual: | denseFLMM.pdf |
| Package source: | denseFLMM_0.1.2.tar.gz |
| Windows binaries: | r-devel: denseFLMM_0.1.2.zip, r-release: denseFLMM_0.1.2.zip, r-oldrel: denseFLMM_0.1.2.zip |
| macOS binaries: | r-release (arm64): denseFLMM_0.1.2.tgz, r-oldrel (arm64): denseFLMM_0.1.2.tgz, r-release (x86_64): denseFLMM_0.1.2.tgz, r-oldrel (x86_64): denseFLMM_0.1.2.tgz |
| Old sources: | denseFLMM archive |
| Reverse imports: | mMARCH.AC, postGGIR |
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