Package: MFPCA 1.3-11

Clara Happ-Kurz

MFPCA: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains

Calculate a multivariate functional principal component analysis for data observed on different dimensional domains. The estimation algorithm relies on univariate basis expansions for each element of the multivariate functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>. Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package 'funData'. For more details on the general concepts of both packages and a case study, see Happ-Kurz (2020) <doi:10.18637/jss.v093.i05>.

Authors:Clara Happ-Kurz [aut, cre]

MFPCA_1.3-11.tar.gz
MFPCA_1.3-11.zip(r-4.7)MFPCA_1.3-11.zip(r-4.6)MFPCA_1.3-11.zip(r-4.5)
MFPCA_1.3-11.tgz(r-4.6-x86_64)MFPCA_1.3-11.tgz(r-4.6-arm64)MFPCA_1.3-11.tgz(r-4.5-x86_64)MFPCA_1.3-11.tgz(r-4.5-arm64)
MFPCA_1.3-11.tar.gz(r-4.7-arm64)MFPCA_1.3-11.tar.gz(r-4.7-x86_64)MFPCA_1.3-11.tar.gz(r-4.6-arm64)MFPCA_1.3-11.tar.gz(r-4.6-x86_64)
MFPCA_1.3-11.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MFPCA/json (API)
NEWS

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

Bug tracker:https://github.com/clarahapp/mfpca/issues

Uses libs:
  • fftw3– Library for computing Fast Fourier Transforms

On CRAN:

Conda:

fftw3

7.09 score 34 stars 5 packages 240 scripts 321 downloads 2 mentions 8 exports 18 dependencies

Last updated from:ee99f556a9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK329
linux-devel-x86_64OK194
source / vignettesOK200
linux-release-arm64OK185
linux-release-x86_64OK193
macos-release-arm64OK154
macos-release-x86_64OK535
macos-oldrel-arm64OK206
macos-oldrel-x86_64OK452
windows-develOK196
windows-releaseOK177
windows-oldrelOK161
wasm-releaseOK118

Exports:FCP_TPAMFPCAPACEscoreplotttvUMPCAunivDecompunivExpansion

Dependencies:abindcodetoolsdotCall64fieldsforeachfunDatairlbaiteratorslatticemapsMatrixmgcvnlmeplyrRColorBrewerRcppspamviridisLite