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GLMaSPU
View on CRAN: Click
here
Download and install GLMaSPU package within the R console
Install from CRAN:
install.packages("GLMaSPU")
Install from Github:
library("remotes")
install_github("cran/GLMaSPU") Install by package version:
library("remotes")
install_version("GLMaSPU", "1.0") Attach the package and use:
library("GLMaSPU")
Maintained by
Chong Wu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-09
Latest Update: 2016-12-09
Description:
Several tests for high dimensional generalized linear models have been proposed recently. In this package, we implemented a new test called adaptive sum of powered score (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. You can learn more about the tests implemented in the package via the following papers: 1. Pan, W., Kim, J., Zhang, Y., Shen, X. and Wei, P. (2014) A powerful and adaptive association test for rare variants, Genetics, 197(4). 2. Guo, B., and Chen, S. X. (2016) . Tests for high dimensional generalized linear models. Journal of the Royal Statistical Society: Series B. 3. Goeman, J. J., Van Houwelingen, H. C., and Finos, L. (2011) . Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control. Biometrika, 98(2).
How to cite:
Chong Wu (2016). GLMaSPU: An Adaptive Test on High Dimensional Parameters in Generalized Linear Models. R package version 1.0, https://cran.r-project.org/web/packages/GLMaSPU. Accessed 08 Mar. 2026.
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Complete documentation for GLMaSPU
Functions, R codes and Examples using
the GLMaSPU R package
Some associated functions: GLMaSPU-package . Goeman_perm . HDGLM_perm . aSPU_apval . aSPU_perm . generate_data .
Some associated R codes: Goeman_perm.R . HDGLM_perm.R . RcppExports.R . aSPU_apval.R . aSPU_perm.R . generate_data.R . support_fun.R . Full GLMaSPU package functions and examples
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