Other packages > Find by keyword >

GLMaSPU  

An Adaptive Test on High Dimensional Parameters in Generalized Linear Models
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]
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 26 Aug. 2026.
Previous versions and publish date:
1.0 (2016-12-09 08:58), (2026-07-09 08:05)
Other packages that cited GLMaSPU R package
View GLMaSPU citation profile
Other R packages that GLMaSPU depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA