Package: MFSD 0.1.1

SI-AHMED IDRIS

MFSD: Multivariate Functional Spatial Data

Analysis of multivariate functional spatial data, including spectral multivariate functional principal component analysis and related statistical procedures (Si-Ahmed, Idris, et al. "Principal component analysis of multivariate spatial functional data." Big Data Research 39 (2025) 100504). (Kuenzer, T., Hörmann, S., & Kokoszka, P. (2021). "Principal component analysis of spatially indexed functions." Journal of the American Statistical Association, 116(535), 1444-1456.) (Happ, C., & Greven, S. (2018). "Multivariate functional principal component analysis for data observed on different (dimensional) domains." Journal of the American Statistical Association, 113(522), 649-659.)

Authors:SI-AHMED IDRIS [aut, cre], Thomas Kuenzer [ctb], Judith AGONKOUI Christelle [ctb], HAMDAD Leila [ctb], DABO-NIANG Sophie [ctb]

MFSD_0.1.1.tar.gz
MFSD_0.1.1.tar.gz(r-4.7-arm64)MFSD_0.1.1.tar.gz(r-4.7-x86_64)MFSD_0.1.1.tar.gz(r-4.6-arm64)MFSD_0.1.1.tar.gz(r-4.6-x86_64)
MFSD_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MFSD/json (API)

# Install 'MFSD' in R:
install.packages('MFSD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • Llist - A list containing the maximum lag for the filters for each variable.
  • qlist - A list containing tuning parameter for the estimation of the the spectral density of indian variable
  • temp - Temperature Data in Wyoming
  • X1999 - Spatial functional data of sea surface temperature (SST) data for the year 1999, derived from NOAA optimal sea surface temperature interpolation data.
  • X2000 - Spatial functional data of sea surface temperature (SST) data for the year 2000, derived from NOAA optimal sea surface temperature interpolation data.
  • X2001 - Spatial functional data of sea surface temperature (SST) data for the year 2001, derived from NOAA optimal sea surface temperature interpolation data.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

2.00 score 454 downloads 26 exports 44 dependencies

Last updated from:661ed1f402. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK159
linux-devel-x86_64OK153
source / vignettesOK196
linux-release-arm64OK131
linux-release-x86_64OK155
wasm-releaseOK123

Exports:as.fsd.fdcenter.fsd.fdfsd.covariancefsd.fdfsd.filterfsd.filter.is.unilateralfsd.jb.testfsd.normfsd.permfsd.plot.covariancefsd.plot.datafsd.plot.filtersfsd.sfarmafsd.spcafsd.spca.covfsd.spca.filtersfsd.spca.inversefsd.spca.scoresfsd.spca.varfsd.spectral.densitymfsdmfsd_Filtermfsd_Scoresmfsd.evaluationplot.fsd.fdunfold

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRcppArmadilloRCurlrlangS7scalesvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Arithmetic for functional spatial data objects-.fsd.fd
Subsetting a functional spatial data object[.fsd.fd
Arithmetic for functional spatial data objects*.fsd.fd
Arithmetic for functional spatial data objects/.fsd.fd
Subsetting a functional spatial data object%/%.fsd.fd
Arithmetic for functional spatial data objects+.fsd.fd
Converting a functional spatial data object into a functional data objectas.fd.fsd.fd
Converting a functional data object into a functional spatial data objectas.fsd.fd
Compute the centered version of spatial functional datacenter.fsd.fd
Calculate the differences for a Functional Spatial Data Objectdiff.fsd.fd
Estimate autocovariance operatorsfsd.covariance
Creating a functional spatial data objectfsd.fd
Creating a functional spatial filterfsd.filter
Check if functional spatial filter is unilateralfsd.filter.is.unilateral
Compute the Fourier transformfsd.fourier
Compute the Fourier inversefsd.fourier.inverse
Perform a Jarque-Bera Test on Normality of Functional Spatial Datafsd.jb.test
Compute the norm of functional datafsd.norm
Permute the dimensions of a Functional Spatial Data Gridfsd.perm
Plot the autocovariance operator of functional spatial datafsd.plot.covariance
Plot functional spatial datafsd.plot.data
Plot functional spatial filtersfsd.plot.filters
Simulate a spatial functional ARMA processfsd.sfarma
Perform Spectral Principal Components Analysis on Spatial Functional Datafsd.spca
Calculate the Covariance of the Spectral Principal Component Scoresfsd.spca.cov
Calculate the Spectral Principal Components Filters Spatial Functional Datafsd.spca.filters
Reconstruct the original functional data from the filters and the scorefsd.spca.inverse
Compute the Scores for Spatial Functional Datafsd.spca.scores
Calculate the Variance explained by Spectral Principal Componentsfsd.spca.var
Estimate the spectral density operatorfsd.spectral.density
Plot functional data on a gridfsd.z.plot
a list containing the maximum lag for the filters for each variable.Llist
Compute the mean of spatial functional datamean.fsd.fd
Perform Multivariate Spectral Principal Components Analysis on Spatial Functional Data.mfsd
Calculate the Multivariate Spectral Principal Components Filters Spatial Functional Datamfsd_Filter
Compute the Multivariate Scores for Spatial Functional Data.mfsd_Scores
Perform A Comparative Evaluation of Dimension Reduction: SMFPCA versus MFPCA in Multivariate Spatial Data Reconstructionmfsd.evaluation
Perform A Evaluation of Dimension Reduction Using NMSE and NMSE*mfsd.nmse
Plot functional spatial dataplot.fsd.fd
Plot functional spatial filtersplot.fsd.filter
Plot method for mfsd.fd objectsplot.mfsd.fd
a list containing tuning parameter for the estimation of the the spectral density of indian variableqlist
Analyse functional spatial filterssummary.fsd.filter
Analyse multivariate functional spatial filterssummary.mfsd.filter
Temperature Data in Wyomingtemp
Unfold indices into a high-dimensional gridunfold
Spatial functional data of sea surface temperature (SST) data for the year 1999, derived from NOAA optimal sea surface temperature interpolation data.X1999
Spatial functional data of sea surface temperature (SST) data for the year 2000, derived from NOAA optimal sea surface temperature interpolation data.X2000
Spatial functional data of sea surface temperature (SST) data for the year 2001, derived from NOAA optimal sea surface temperature interpolation data.X2001