Package: GLMaSPU 1.1

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-4.5)GLMaSPU_1.1.zip(r-4.4)GLMaSPU_1.1.zip(r-4.3)
GLMaSPU_1.1.tgz(r-4.4-x86_64)GLMaSPU_1.1.tgz(r-4.4-arm64)GLMaSPU_1.1.tgz(r-4.3-x86_64)GLMaSPU_1.1.tgz(r-4.3-arm64)
GLMaSPU_1.1.tar.gz(r-4.5-noble)GLMaSPU_1.1.tar.gz(r-4.4-noble)
GLMaSPU_1.1.tgz(r-4.4-emscripten)GLMaSPU_1.1.tgz(r-4.3-emscripten)
GLMaSPU.pdf |GLMaSPU.html✨
GLMaSPU/json (API)

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

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

2.70 score 1 stars 5 scripts 128 downloads 4 exports 5 dependencies

Last updated 7 years agofrom:1523be583a. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64OKNov 05 2024
R-4.5-linux-x86_64OKNov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64OKNov 05 2024
R-4.4-mac-aarch64OKNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64OKNov 05 2024
R-4.3-mac-aarch64OKNov 05 2024

Exports:aSPU_apvalaSPU_permgenerate_dataHDGLM_perm

Dependencies:MASSmnormtmvtnormRcppRcppArmadillo