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>
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-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): denseFLMM_0.1.2.tgz, r-release (arm64): denseFLMM_0.1.2.tgz, r-oldrel (arm64): denseFLMM_0.1.2.tgz, r-prerel (x86_64): denseFLMM_0.1.2.tgz, r-release (x86_64): denseFLMM_0.1.2.tgz
Old sources: denseFLMM archive

Reverse dependencies:

Reverse imports: mMARCH.AC, postGGIR


Please use the canonical form to link to this page.