Package: mvs 2.0.0
Wouter van Loon
mvs: Methods for High-Dimensional Multi-View Learning
Methods for high-dimensional multi-view learning based on the multi-view stacking (MVS) framework. For technical details on the MVS and stacked penalized logistic regression (StaPLR) methods see Van Loon, Fokkema, Szabo, & De Rooij (2020) <doi:10.1016/j.inffus.2020.03.007> and Van Loon et al. (2022) <doi:10.3389/fnins.2022.830630>.
Authors:
mvs_2.0.0.tar.gz
mvs_2.0.0.tar.gz(r-4.5-noble)mvs_2.0.0.tar.gz(r-4.4-noble)
mvs_2.0.0.tgz(r-4.4-emscripten)mvs_2.0.0.tgz(r-4.3-emscripten)
mvs.pdf |mvs.html✨
mvs/json (API)
NEWS
| # Install 'mvs' in R: |
| install.packages('mvs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:e792f4a41e. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
Exports:mrmMRMmvsMVSstaplrStaPLR
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mvs: Methods for High-Dimensional Multi-View Learning. | mvs-package |
| Extract coefficients from an "MVS" object. | coef.MVS |
| Extract coefficients from a "StaPLR" object. | coef.StaPLR |
| Minority Report Measure | MRM mrm |
| Multi-View Stacking | MVS mvs |
| Make predictions from an "MVS" object. | predict.MVS |
| Make predictions from a "StaPLR" object. | predict.StaPLR |
| Make predictions from a "StaPLRcoef" object. | predict.StaPLRcoef |
| Stacked Penalized Logistic Regression | StaPLR staplr |