Package: lsReg 1.0.0

lsReg: Performs Large Scale Regressions

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.

Authors:John Morrison [aut, cre], NCI [fnd], NCI [fnd], NIEHS [fnd], NHLBI [fnd]

lsReg_1.0.0.tar.gz
lsReg_1.0.0.zip(r-4.7)lsReg_1.0.0.zip(r-4.6)lsReg_1.0.0.zip(r-4.5)
lsReg_1.0.0.tgz(r-4.6-x86_64)lsReg_1.0.0.tgz(r-4.6-arm64)lsReg_1.0.0.tgz(r-4.5-x86_64)lsReg_1.0.0.tgz(r-4.5-arm64)
lsReg_1.0.0.tar.gz(r-4.7-arm64)lsReg_1.0.0.tar.gz(r-4.7-x86_64)lsReg_1.0.0.tar.gz(r-4.6-arm64)lsReg_1.0.0.tar.gz(r-4.6-x86_64)
lsReg_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lsReg/json (API)

# Install 'lsReg' in R:

install.packages('lsReg', repos = c('https://jimb3.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

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

On CRAN:

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

openblas cpp openmp

3.38 score 2 packages 497 downloads 2 exports 2 dependencies

Last updated from:f15a96ec39. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	143
linux-devel-x86_64	OK	143
source / vignettes	OK	198
linux-release-arm64	OK	157
linux-release-x86_64	OK	152
macos-release-arm64	OK	86
macos-release-x86_64	OK	222
macos-oldrel-arm64	OK	102
macos-oldrel-x86_64	OK	289
windows-devel	OK	126
windows-release	OK	149
windows-oldrel	OK	122
wasm-release	OK	116