Package: GLMaSPU 1.1

Chong Wu

GLMaSPU: An Adaptive Test on High Dimensional Parameters in Generalized Linear Models

Several tests for high dimensional generalized linear models have been proposed recently. In this package, we implemented a new test called aSPU for high dimensional generalized linear models, which is often more powerful than the existing methods in a wide scenarios. We also implemented permutation based version of several existing methods for research purpose. We recommend users use the aSPU test for their real testing problem.

Authors:Chong Wu and Wei Pan

GLMaSPU_1.1.tar.gz
GLMaSPU_1.1.zip(r-4.7)GLMaSPU_1.1.zip(r-4.6)GLMaSPU_1.1.zip(r-4.5)
GLMaSPU_1.1.tgz(r-4.6-x86_64)GLMaSPU_1.1.tgz(r-4.6-arm64)GLMaSPU_1.1.tgz(r-4.5-x86_64)GLMaSPU_1.1.tgz(r-4.5-arm64)
GLMaSPU_1.1.tar.gz(r-4.7-arm64)GLMaSPU_1.1.tar.gz(r-4.7-x86_64)GLMaSPU_1.1.tar.gz(r-4.6-arm64)GLMaSPU_1.1.tar.gz(r-4.6-x86_64)
GLMaSPU_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GLMaSPU/json (API)

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

Bug tracker:https://github.com/chongwu-biostat/glmaspu/issues

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

On CRAN:

Conda:

openblascppopenmp

3.00 score 2 stars 5 scripts 80 downloads 4 exports 5 dependencies

Last updated from:1523be583a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK113
source / vignettesOK179
linux-release-arm64OK122
linux-release-x86_64OK111
macos-release-arm64OK129
macos-release-x86_64OK224
macos-oldrel-arm64OK173
macos-oldrel-x86_64OK356
windows-develOK98
windows-releaseOK118
windows-oldrelOK118
wasm-releaseOK100

Exports:aSPU_apvalaSPU_permgenerate_dataHDGLM_perm

Dependencies:MASSmnormtmvtnormRcppRcppArmadillo