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

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:

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