Package: MVOPR 2.0.0

MVOPR: Multi-View Orthogonal Projection Regression for Multi-Modality Integration

Implements the 'MVOPR' (Multi-View Orthogonal Projection Regression) method for robust variable selection and integration of multi-modality data.

Authors:Zongrui Dai [aut, cre], Gen Li [aut]

MVOPR_2.0.0.tar.gz
MVOPR_2.0.0.zip(r-4.7)MVOPR_2.0.0.zip(r-4.6)MVOPR_2.0.0.zip(r-4.5)
MVOPR_2.0.0.tgz(r-4.6-any)MVOPR_2.0.0.tgz(r-4.5-any)
MVOPR_2.0.0.tar.gz(r-4.7-any)MVOPR_2.0.0.tar.gz(r-4.6-any)
MVOPR_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MVOPR/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 132 downloads 2 exports 31 dependencies

Last updated from:e3e07fd4ec. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK189
linux-release-x86_64OK119
macos-release-arm64OK269
macos-oldrel-arm64OK153
windows-develOK381
windows-releaseOK113
windows-oldrelOK86
wasm-releaseOK102

Exports:MVOPR2MVOPR3

Dependencies:clicodetoolscpp11farverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecycleMASSMatrixncvregR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrrpackS7scalesshapesurvivalvctrsviridisLitewithr