Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.
Version: 0.4.2 Depends: R (≥ 3.3), mgcv (≥ 1.8-12), refund (≥ 0.1-22) Imports: methods, parallel, MASS, Matrix, data.table Published: 2025-04-15 DOI: 10.32614/CRAN.package.sparseFLMM Author: Jona Cederbaum [aut, cre], Alexander Volkmann [aut], Almond Stöcker [aut] Maintainer: Jona Cederbaum <Jona.Cederbaum at gmail.com> License: GPL-2 NeedsCompilation: no Materials: NEWS In views: FunctionalData CRAN checks: sparseFLMM results Documentation: Reference manual: sparseFLMM.html , sparseFLMM.pdf Downloads: Package source: sparseFLMM_0.4.2.tar.gz Windows binaries: r-devel: sparseFLMM_0.4.2.zip, r-release: sparseFLMM_0.4.2.zip, r-oldrel: sparseFLMM_0.4.2.zip macOS binaries: r-release (arm64): sparseFLMM_0.4.2.tgz, r-oldrel (arm64): sparseFLMM_0.4.2.tgz, r-release (x86_64): sparseFLMM_0.4.2.tgz, r-oldrel (x86_64): sparseFLMM_0.4.2.tgz Old sources: sparseFLMM archive Reverse dependencies: Reverse imports: elastes, MJMbamlss, multifamm, randnet Linking:Please use the canonical form https://CRAN.R-project.org/package=sparseFLMM to link to this page.
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