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:
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')) |
- acoustic - Phonetics acoustic data
- acoustic_subset - Phonetics acoustic data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:b182e9a244. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | NOTE | Oct 29 2024 |
Exports:make_summation_matrixsparseFLMM
Dependencies:abindashbitopsbootcliclustercolorspacedata.tabledeSolvefansifarverfdafdsFNNgamm4ggplot2gluegrpreggtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrpbspcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppEigenRCurlrefundrlangRLRsimscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Phonetics acoustic data (complete) | acoustic |
| Phonetics acoustic data (subset) | acoustic_subset |
| Construct symmetry constraint matrix for bivariate symmetric smoothing. | make_summation_matrix |
| Predict matrix method for (skew-)symmetric bivariate smooths. | Predict.matrix.symm.smooth |
| Symmetric bivariate smooths constructor | smooth.construct.symm.smooth.spec |
| Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data | sparseFLMM |