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denseFLMM: Functional Linear Mixed Models for Densely Sampled Data

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

Documentation:

Reference manual: denseFLMM.pdf

Downloads:

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 dependencies:

Reverse imports: mMARCH.AC, postGGIR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=denseFLMM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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