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Package: biglasso 1.6.1.2
biglasso: Extending Lasso Model Fitting to Big Data
Extend lasso and elastic-net model fitting for large data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data with limited RAM <doi:10.32614/RJ-2021-001>.
Authors:
biglasso_1.6.1.2.tar.gz
biglasso_1.6.1.2.zip(r-4.7)biglasso_1.6.1.2.zip(r-4.6)biglasso_1.6.1.2.zip(r-4.5)
biglasso_1.6.1.2.tgz(r-4.6-x86_64)biglasso_1.6.1.2.tgz(r-4.6-arm64)biglasso_1.6.1.2.tgz(r-4.5-x86_64)biglasso_1.6.1.2.tgz(r-4.5-arm64)
biglasso_1.6.1.2.tar.gz(r-4.7-arm64)biglasso_1.6.1.2.tar.gz(r-4.7-x86_64)biglasso_1.6.1.2.tar.gz(r-4.6-arm64)biglasso_1.6.1.2.tar.gz(r-4.6-x86_64)
biglasso_1.6.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
biglasso/json (API)
| # Install 'biglasso' in R: |
| install.packages('biglasso', repos = c('https://pbreheny.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pbreheny/biglasso/issues
Pkgdown/docs site:https://pbreheny.github.io
Datasets:
- colon - Gene expression data from colon-cancer patients
bigdatalassoout-of-coreparallel-computingcppopenmp
Last updated from:4031421687. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 197 | ||
| linux-devel-x86_64 | OK | 194 | ||
| source / vignettes | OK | 282 | ||
| linux-release-arm64 | OK | 186 | ||
| linux-release-x86_64 | OK | 189 | ||
| macos-release-arm64 | OK | 145 | ||
| macos-release-x86_64 | OK | 283 | ||
| macos-oldrel-arm64 | OK | 107 | ||
| macos-oldrel-x86_64 | OK | 300 | ||
| windows-devel | OK | 216 | ||
| windows-release | OK | 241 | ||
| windows-oldrel | OK | 223 | ||
| wasm-release | OK | 186 |
Exports:biglassobiglasso_fitbiglasso_pathcv.biglassosetupX
Dependencies:BHbigmemorybigmemory.srilatticeMatrixncvregRcppRcppArmadillouuid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extending Lasso Model Fitting to Big Data | biglasso-package |
| Fit lasso penalized regression path for big data | biglasso |
| Direct interface to biglasso fitting, no preprocessing | biglasso_fit |
| Direct interface to biglasso fitting, no preprocessing, path version | biglasso_path |
| Gene expression data from colon-cancer patients | colon |
| Cross-validation for biglasso | cv.biglasso |
| Plot coefficients from a "biglasso" object | plot.biglasso |
| Plots the cross-validation curve from a "cv.biglasso" object | plot.cv.biglasso |
| Plot coefficients from a "mbiglasso" object | plot.mbiglasso |
| Model predictions based on a fitted 'biglasso' object | coef.biglasso coef.mbiglasso predict.biglasso predict.mbiglasso |
| Model predictions based on a fitted 'cv.biglasso()' object | coef.cv.biglasso predict.cv.biglasso |
| Set up design matrix X by reading data from big data file | setupX |
| Summarizing inferences based on cross-validation | print.summary.cv.biglasso summary.cv.biglasso |
