Package: mfaces 0.1-5

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]

mfaces_0.1-5.tar.gz
mfaces_0.1-5.zip(r-4.7)mfaces_0.1-5.zip(r-4.6)mfaces_0.1-5.zip(r-4.5)
mfaces_0.1-5.tgz(r-4.6-any)mfaces_0.1-5.tgz(r-4.5-any)
mfaces_0.1-5.tar.gz(r-4.7-any)mfaces_0.1-5.tar.gz(r-4.6-any)
mfaces_0.1-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mfaces/json (API)

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

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

On CRAN:

Conda:

2.70 score 1 stars 5 scripts 172 downloads 1 exports 6 dependencies

Last updated from:2990dbf8ae. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE118
source / vignettesOK170
linux-release-x86_64NOTE118
macos-release-arm64NOTE140
macos-oldrel-arm64NOTE182
windows-develNOTE81
windows-releaseNOTE78
windows-oldrelNOTE92
wasm-releaseOK97

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