Package: JICO 0.0.0.9000

JICO: Joint and Individual Regression

An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2022). <arxiv:2209.12388>]. 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_0.0.0.9000.tar.gz
JICO_0.0.0.9000.zip(r-4.5)JICO_0.0.0.9000.zip(r-4.4)JICO_0.0.0.9000.zip(r-4.3)
JICO_0.0.0.9000.tgz(r-4.4-any)JICO_0.0.0.9000.tgz(r-4.3-any)
JICO_0.0.0.9000.tar.gz(r-4.5-noble)JICO_0.0.0.9000.tar.gz(r-4.4-noble)
JICO_0.0.0.9000.tgz(r-4.4-emscripten)JICO_0.0.0.9000.tgz(r-4.3-emscripten)
JICO.pdf |JICO.html✨
JICO/json (API)
NEWS

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

Peer review:

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

On CRAN:

6 exports 0.63 score 9 dependencies 2 scripts 218 downloads

Last updated 1 years agofrom:a7bfa0c4db. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

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

Dependencies:data.tablejsonlitelatticeMASSMatrixnleqslvrlistXMLyaml