JICO: Joint and Individual Regression

Implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2022). <doi:10.48550/arXiv.2209.12388>], which solves 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. It provides the implementation of the algorithm so solve the iterative continuum regression problem with fixed rank selection, as well as the cross-validation function to perform hyperparameter tuning.

Version: 0.0
Imports: nleqslv, Matrix, MASS, rlist
Suggests: testthat (≥ 3.0.0)
Published: 2023-05-08
DOI: NA
Author: Peiyao Wang [aut, cre]
Maintainer: Peiyao Wang <peiyaow76 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: JICO results

Documentation:

Reference manual: JICO.pdf

Downloads:

Package source: JICO_0.0.tar.gz
Windows binaries: r-devel: JICO_0.0.zip, r-release: JICO_0.0.zip, r-oldrel: JICO_0.0.zip
macOS binaries: r-release (arm64): JICO_0.0.tgz, r-oldrel (arm64): JICO_0.0.tgz, r-release (x86_64): JICO_0.0.tgz, r-oldrel (x86_64): JICO_0.0.tgz

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