Package: JICO 0.1

JICO: Joint and Individual Regression

An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2024). <Journal of Computational and Graphical Statistics, 33(3), 763-773>]. It aims at solving the multi-group regression problem. The algorithm decomposes the responses from multiple groups into shared and group-specific components, which are driven by low-rank approximations of joint and individual structures from the covariates respectively.

Authors:Peiyao Wang [aut, cre]

JICO_0.1.tar.gz
JICO_0.1.zip(r-4.7-any)JICO_0.1.zip(r-4.6-any)JICO_0.1.zip(r-4.5-any)
JICO_0.1.tgz(r-4.6-any)JICO_0.1.tgz(r-4.5-any)
JICO_0.1.tar.gz(r-4.7-any)JICO_0.1.tar.gz(r-4.6-any)
JICO_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
JICO/json (API)

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

Bug tracker:https://github.com/peiyaow/jico/issues

On CRAN:

Conda:

2.70 score 2 scripts 265 downloads 6 exports 9 dependencies

Last updated from:2f9abc505e. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE107
source / vignettesOK190
linux-releaseNOTE124
macos-releaseNOTE155
macos-oldrelNOTE219
windows-develNOTE63
windows-releaseNOTE64
windows-oldrelNOTE82
wasm-releaseOK90

Exports:continuumcontinuum.multigroup.itercv.continnum.iterparameter.set.G_2parameter.set.G_3parameter.set.rankA_eq

Dependencies:data.tablejsonlitelatticeMASSMatrixnleqslvrlistXMLyaml