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 |
DOI: | 10.32614/CRAN.package.denseFLMM |
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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