Package: sparseFLMM 0.4.1

Jona Cederbaum

sparseFLMM: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data

Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.

Authors:Jona Cederbaum [aut, cre], Alexander Volkmann [aut], Almond Stöcker [aut]

sparseFLMM_0.4.1.tar.gz
sparseFLMM_0.4.1.tar.gz(r-4.5-noble)sparseFLMM_0.4.1.tar.gz(r-4.4-noble)
sparseFLMM_0.4.1.tgz(r-4.4-emscripten)sparseFLMM_0.4.1.tgz(r-4.3-emscripten)
sparseFLMM.pdf |sparseFLMM.html
sparseFLMM/json (API)

# Install 'sparseFLMM' in R:
install.packages('sparseFLMM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.26 score 6 packages 531 downloads 2 exports 64 dependencies

Last updated 4 years agofrom:b182e9a244. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-linuxNOTEJan 27 2025

Exports:make_summation_matrixsparseFLMM

Dependencies:abindashbitopsbootcliclustercolorspacedata.tabledeSolvefansifarverfdafdsFNNgamm4ggplot2gluegrpreggtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrpbspcaPPpillarpkgconfigpracmaR6rainbowrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrefundrlangRLRsimscalestibbleutf8vctrsviridisLitewithr