Package: sparseFLMM 0.4.3

Almond Stoecker

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_0.4.3.tar.gz
sparseFLMM_0.4.3.zip(r-4.7)sparseFLMM_0.4.3.zip(r-4.6)sparseFLMM_0.4.3.zip(r-4.5)
sparseFLMM_0.4.3.tgz(r-4.6-any)sparseFLMM_0.4.3.tgz(r-4.5-any)
sparseFLMM_0.4.3.tar.gz(r-4.7-any)sparseFLMM_0.4.3.tar.gz(r-4.6-any)
sparseFLMM_0.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sparseFLMM/json (API)

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

Bug tracker:https://github.com/jonacrc/sparseflmm/issues

Datasets:

On CRAN:

Conda:

4.61 score 7 packages 98 scripts 375 downloads 2 exports 59 dependencies

Last updated from:59f336f4b7. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE167
source / vignettesOK179
linux-release-x86_64NOTE165
macos-release-arm64NOTE169
macos-oldrel-arm64NOTE162
windows-develNOTE133
windows-releaseNOTE122
windows-oldrelNOTE105
wasm-releaseOK111

Exports:make_summation_matrixsparseFLMM

Dependencies:abindashbitopsbootcliclustercolorspacecpp11data.tabledeSolvefarverfdafdsFNNgamm4ggplot2gluegrpreggtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicMASSMatrixmclustmgcvminqamulticoolmvtnormnlmenloptrpbspcaPPpracmaR6rainbowrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrefundrlangRLRsimS7scalesvctrsviridisLitewithr