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:
JICO_0.1.tar.gz
JICO_0.1.zip(r-4.7)JICO_0.1.zip(r-4.6)JICO_0.1.zip(r-4.5)
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✨
card.svg |card.png
JICO/json (API)
NEWS
| # 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
Last updated from:2f9abc505e. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 125 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | NOTE | 119 | ||
| macos-release-arm64 | NOTE | 183 | ||
| macos-oldrel-arm64 | NOTE | 196 | ||
| windows-devel | NOTE | 69 | ||
| windows-release | NOTE | 92 | ||
| windows-oldrel | NOTE | 71 | ||
| wasm-release | OK | 94 |
Exports:continuumcontinuum.multigroup.itercv.continnum.iterparameter.set.G_2parameter.set.G_3parameter.set.rankA_eq
Dependencies:data.tablejsonlitelatticeMASSMatrixnleqslvrlistXMLyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the coefficients from the continuum regression (CR) algorithm | C2beta |
| The continuum regression (CR) algorithm | continuum |
| The Joint and Individual Component Regression (JICO) algorithm | continuum.multigroup.iter |
| Utility function to create folds for stratified samples | createFolds |
| Fit JICO with cross-validation to tune hyperparameters | cv.continnum.iter |
| Generate diagonal matrix | DIAG |
| Helper function to compute the SVD results | initialize.UDVZ |
| Generate parameter sets (G=2) | parameter.set.G_2 |
| Generate parameter sets (G=3) | parameter.set.G_3 |
| Generate parameter sets (equal individual ranks) | parameter.set.rankA_eq |
| Helper function to compute the inverse of input X matrix | SOLVE |
