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Routines to perform large scale regression. Linear, logistic, and Poisson regressions are supported. Large scale regression efficiently fits models where a small number of covariates are changing and the subjects have complete data. A genome wide association study would be an example.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, methods |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, statmod |
| Published: | 2026-04-28 |
| DOI: | 10.32614/CRAN.package.lsReg |
| Author: | John Morrison [aut, cre], NCI [fnd] (CA196559), NCI [fnd] (CA201407), NIEHS [fnd] (ES007048), NHLBI [fnd] (HL115606) |
| Maintainer: | John Morrison <jmorr at usc.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | lsReg results |
| Reference manual: | lsReg.html , lsReg.pdf |
| Vignettes: |
Large-Scale Linear Regression with lsReg (source, R code) Large-Scale Logistic Regression with lsReg (source, R code) Large-Scale Poisson Regression with lsReg (source, R code) Hypothesis Tests in lsReg (source, R code) |
| Package source: | lsReg_1.0.0.tar.gz |
| Windows binaries: | r-devel: lsReg_1.0.0.zip, r-release: lsReg_1.0.0.zip, r-oldrel: lsReg_1.0.0.zip |
| macOS binaries: | r-release (arm64): lsReg_1.0.0.tgz, r-oldrel (arm64): lsReg_1.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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