Other packages > Find by keyword >

highDmean  

Testing Two-Sample Mean in High Dimension
View on CRAN: Click here


Download and install highDmean package within the R console
Install from CRAN:
install.packages("highDmean")

Install from Github:
library("remotes")
install_github("cran/highDmean")

Install by package version:
library("remotes")
install_version("highDmean", "0.1.0")



Attach the package and use:
library("highDmean")
Maintained by
Huaiyu Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-12
Latest Update: 2020-06-12
Description:
Implements the high-dimensional two-sample test proposed by Zhang (2019) . It also implements the test proposed by Srivastava, Katayama, and Kano (2013) . These tests are particularly suitable to high dimensional data from two populations for which the classical multivariate Hotelling's T-square test fails due to sample sizes smaller than dimensionality. In this case, the ZWL and ZWLm tests proposed by Zhang (2019) , referred to as zwl_test() in this package, provide a reliable and powerful test.
How to cite:
Huaiyu Zhang (2020). highDmean: Testing Two-Sample Mean in High Dimension. R package version 0.1.0, https://cran.r-project.org/web/packages/highDmean. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited highDmean R package
View highDmean citation profile
Other R packages that highDmean depends, imports, suggests or enhances
Complete documentation for highDmean
Functions, R codes and Examples using the highDmean R package
Some associated functions: GO_example . SKK_sim . SKK_test . buildData . highDmean . rgammashift . zwl_sim . zwl_test . 
Some associated R codes: data.R . functions.R . highDmean.R .  Full highDmean package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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