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 |
| Reference manual: | sparseFLMM.html ,sparseFLMM.pdf |
| 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 imports: | elastes,MJMbamlss,multifamm,randnet |
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