Package: ReMFPCA 1.1.0

ReMFPCA: Regularized Multivariate Functional Principal Component Analysis

Methods and tools for implementing regularized multivariate functional principal component analysis ('ReMFPCA') for multivariate functional data whose variables might be observed over different dimensional domains. 'ReMFPCA' is an object-oriented interface leveraging the extensibility and scalability of R6. It employs a parameter vector to control the smoothness of each functional variable. By incorporating smoothness constraints as penalty terms within a regularized optimization framework, 'ReMFPCA' generates smooth multivariate functional principal components, offering a concise and interpretable representation of the data. For detailed information on the methods and techniques used in 'ReMFPCA', please refer to Haghbin et al. (2023) <doi:10.48550/arXiv.2306.13980>.

Authors:Hossein Haghbin [aut, cre], Yue Zhao [aut], Mehdi Maadooliat [aut]

ReMFPCA_1.1.0.tar.gz
ReMFPCA_1.1.0.zip(r-4.5)ReMFPCA_1.1.0.zip(r-4.4)ReMFPCA_1.1.0.zip(r-4.3)
ReMFPCA_1.1.0.tgz(r-4.4-any)ReMFPCA_1.1.0.tgz(r-4.3-any)
ReMFPCA_1.1.0.tar.gz(r-4.5-noble)ReMFPCA_1.1.0.tar.gz(r-4.4-noble)
ReMFPCA_1.1.0.tgz(r-4.4-emscripten)ReMFPCA_1.1.0.tgz(r-4.3-emscripten)
ReMFPCA.pdf |ReMFPCA.html✨
ReMFPCA/json (API)

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

Peer review:

Bug tracker:https://github.com/haghbinh/remfpca/issues

Datasets:
  • electrical_power_data - Electrical Power Dataset
  • motion_sense_data - Motion Sense Dataset: Measurements of user acceleration and pitch attitude collected by smartphones from 24 individuals performing four distinct activities: jogging, walking, sitting, and standing.

On CRAN:

3.18 score 3 stars 127 downloads 23 exports 49 dependencies

Last updated 5 days agofrom:f08d0c4de9. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 16 2025
R-4.5-winOKJan 16 2025
R-4.5-linuxOKJan 16 2025
R-4.4-winOKJan 16 2025
R-4.4-macOKJan 16 2025
R-4.3-winOKJan 16 2025
R-4.3-macOKJan 16 2025

Exports:basismfdBasismfdbimfdplotinprod_mfdinprod_mvmfdis.basismfdis.mfdis.mvbasismfdis.mvmfdlengthmeanmfdMfdmvbasismfdMvbasismfdmvmfdMvmfdnorm_mfdnorm_mvmfdplotremfpcaRemfpcasd

Dependencies:ashbitopscliclustercolorspacedeSolveexpmfansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Subtract two `mfd` objects-.mfd
Subtraction of two `mvmfd` objects-.mvmfd
Extract subsets of an `mfd` object[.mfd
Extract subsets of an `mvmfd` object[.mvmfd
Scalar multiplication of an `mfd` object*.mfd
Multiplication of an `mvmfd` object with a scalar*.mvmfd
Add two `mfd` objects+.mfd
Addition of two `mvmfd` objects+.mvmfd
Define a Set of Multidimensional Functional BasisBasismfd basismfd
Bivariate plot for `mvmfd` objectsbimfdplot
Electrical Power Datasetelectrical_power_data
Compute the inner product between two objects of class `mfd`inprod_mfd
Compute the inner product between two objects of class `mvmfd`inprod_mvmfd
Check if an object is of class 'basismfd'is.basismfd
Check if an object is of class 'mfd'is.mfd
Check if an object is of class 'mvbasismfd'is.mvbasismfd
Check if an object is of class 'mvmfd'is.mvmfd
Length of an object of classes `mfd`or `mvmfd`.length
mean of an object of classes `mfd`or `mvmfd`.mean
Define a Set of Multidimensional Functional Data objectsMfd mfd
Motion Sense Dataset: Measurements of user acceleration and pitch attitude collected by smartphones from 24 individuals performing four distinct activities: jogging, walking, sitting, and standing.motion_sense_data
Define a Set of Multivariate Multidimensional Functional BasisMvbasismfd mvbasismfd [.mvbasismfd
Define a Set of Multivariate Multidimensional Functional Data objectsMvmfd mvmfd
Compute the norm of an object of class `mfd`norm_mfd
Compute the norm of an object of class `mvmfd`norm_mvmfd
Penalty Functionpen_fun
plots an object of classes `mfd`, `mvmfd` or `remfpca`plot
A Class for `ReMFPCA` objectsRemfpca remfpca
Standard deviation of an object of class `mfd`.sd