Package: oem 2.0.12

oem: Orthogonalizing EM: Penalized Regression for Big Tall Data

Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting. A description of the underlying methods and code interface is described in Huling and Chien (2022) <doi:10.18637/jss.v104.i06>.

Authors:Bin Dai [aut], Jared Huling [aut, cre], Yixuan Qiu [ctb], Gael Guennebaud [cph], Jitse Niesen [cph]

oem_2.0.12.tar.gz
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oem_2.0.12.tgz(r-4.6-x86_64)oem_2.0.12.tgz(r-4.6-arm64)oem_2.0.12.tgz(r-4.5-x86_64)oem_2.0.12.tgz(r-4.5-arm64)
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oem_2.0.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
oem/json (API)

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

Bug tracker:https://github.com/jaredhuling/oem/issues

Pkgdown/docs site:https://jaredhuling.org

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

group-lassolassomachine-learningmcpoemoem-algorithmpenalized-regressionscadvariable-selectionopenblascppopenmp

6.01 score 27 stars 1 packages 25 scripts 294 downloads 1 mentions 7 exports 13 dependencies

Last updated from:ada38fb888. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK321
linux-devel-x86_64OK279
source / vignettesOK443
linux-release-arm64OK280
linux-release-x86_64OK284
macos-release-arm64OK188
macos-release-x86_64OK500
macos-oldrel-arm64OK245
macos-oldrel-x86_64OK338
windows-develOK337
windows-releaseOK347
windows-oldrelOK326
wasm-releaseOK178

Exports:big.oemcv.oemcv.oemfitoemoem.xtxoemfitxval.oem

Dependencies:BHbigmemorybigmemory.sricodetoolsforeachiteratorslatticeMatrixRcppRcppArmadilloRcppEigenRSpectrauuid

Usage of the oem Package

Jared Huling

Rendered fromoem_vignette.Rmdusingknitr::rmarkdownon May 06 2026.

Last update: 2022-10-06
Started: 2016-05-20