Package: fdarep 0.1.0
fdarep: Two-dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data
Provides an implementation of two-dimensional functional principal component analysis (FPCA), Marginal FPCA, and Product FPCA for repeated functional data. Marginal and Product FPCA implementations are done for both dense and sparsely observed functional data. References: Chen, K., Delicado, P., & Müller, H. G. (2017) <doi:10.1111/rssb.12160>. Chen, K., & Müller, H. G. (2012) <doi:10.1080/01621459.2012.734196>. Hall, P., Müller, H.G. and Wang, J.L. (2006) <doi:10.1214/009053606000000272>. Yao, F., Müller, H. G., & Wang, J. L. (2005) <doi:10.1198/016214504000001745>.
Authors:
fdarep_0.1.0.tar.gz
fdarep_0.1.0.zip(r-4.5)fdarep_0.1.0.zip(r-4.4)fdarep_0.1.0.zip(r-4.3)
fdarep_0.1.0.tgz(r-4.4-any)fdarep_0.1.0.tgz(r-4.3-any)
fdarep_0.1.0.tar.gz(r-4.5-noble)fdarep_0.1.0.tar.gz(r-4.4-noble)
fdarep_0.1.0.tgz(r-4.4-emscripten)fdarep_0.1.0.tgz(r-4.3-emscripten)
fdarep.pdf |fdarep.html✨
fdarep/json (API)
NEWS
# Install 'fdarep' in R: |
install.packages('fdarep', repos = c('https://functionaldata.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/functionaldata/tfdarep/issues
Last updated 11 months agofrom:c53b8726f2. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 27 2024 |
R-4.5-win | NOTE | Aug 27 2024 |
R-4.5-linux | NOTE | Aug 27 2024 |
R-4.4-win | NOTE | Aug 27 2024 |
R-4.4-mac | NOTE | Aug 27 2024 |
R-4.3-win | NOTE | Aug 27 2024 |
R-4.3-mac | NOTE | Aug 27 2024 |
Exports:Dense2dFPCADenseMarginalFPCADenseProductFPCASparseMarginalFPCASparseProductFPCA
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfdapacefontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetnumDerivpillarpkgconfigpracmaR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml