Package: mfaces 0.1-4

mfaces: Fast Covariance Estimation for Multivariate Sparse Functional Data

Multivariate functional principal component analysis via fast covariance estimation for multivariate sparse functional data or longitudinal data proposed by Li, Xiao, and Luo (2020) <doi:10.1002/sta4.245>.

Authors:Cai Li [aut,cre] and Luo Xiao [aut]

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mfaces.pdf |mfaces.html
mfaces/json (API)

# Install 'mfaces' in R:
install.packages('mfaces', repos = c('https://cli9.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cli9/mfaces/issues

On CRAN:

2.70 score 152 downloads 1 exports 6 dependencies

Last updated 3 years agofrom:b59fb10d49. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 04 2025
R-4.5-winNOTEJan 04 2025
R-4.5-linuxNOTEJan 04 2025
R-4.4-winNOTEJan 04 2025
R-4.4-macNOTEJan 04 2025
R-4.3-winNOTEJan 04 2025
R-4.3-macNOTEJan 04 2025

Exports:mface.sparse

Dependencies:facelatticeMatrixmatrixcalcmgcvnlme

Readme and manuals

Help Manual

Help pageTopics
mfacesmfaces-package mfaces
Fast covariance estimation for multivariate sparse functional datamface.sparse
Internal functions for mfaces packagebps check.data construct.knots face.sparse.inner igcv.criteria igcv.wrapper kr matrix.multiply predict.face.sparse.inner pspline.setting raw.construct
Subject-specific curve prediction from a mface.sparse fitpredict.mface.sparse