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
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

Downloads:

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-release (x86_64): denseFLMM_0.1.2.tgz, r-oldrel: denseFLMM_0.1.2.tgz
Old sources: denseFLMM archive

Reverse dependencies:

Reverse imports: postGGIR

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