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-any)mfaces_0.1-5.zip(r-4.6-any)mfaces_0.1-5.zip(r-4.5-any)
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✨
DESCRIPTION
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 230 downloads 1 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-develNOTE139
source / vignettesOK258
linux-releaseNOTE151
macos-releaseNOTE161
macos-oldrelNOTE179
windows-develNOTE80
windows-releaseNOTE75
windows-oldrelNOTE88
wasm-releaseOK109

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