Package: fdarep 0.1.0

Poorbita Kundu

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:Poorbita Kundu [aut, cre], Changbo Zhou [aut], Kehui Chen [aut], Pedro Delicado [aut], Su I Iao [aut], Hang Chen [aut], Han Chen [aut], Muqing Cui [aut], Hans-Georg Müller [cph, ths, aut]

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'))

Peer review:

Bug tracker:https://github.com/functionaldata/tfdarep/issues

On CRAN:

5 exports 0.73 score 70 dependencies 172 downloads

Last updated 11 months agofrom:c53b8726f2. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-winNOTEAug 27 2024
R-4.5-linuxNOTEAug 27 2024
R-4.4-winNOTEAug 27 2024
R-4.4-macNOTEAug 27 2024
R-4.3-winNOTEAug 27 2024
R-4.3-macNOTEAug 27 2024

Exports:Dense2dFPCADenseMarginalFPCADenseProductFPCASparseMarginalFPCASparseProductFPCA

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfdapacefontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetnumDerivpillarpkgconfigpracmaR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml