Other packages > Find by keyword >

HDNRA  

High-Dimensional Location Testing with Normal-Reference Approaches
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HDNRA", "2.0.1")



Attach the package and use:
library("HDNRA")
Maintained by
Pengfei Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-27
Latest Update: 2024-10-22
Description:
We provide a collection of various classical tests and latest normal-reference tests for comparing high-dimensional mean vectors including two-sample and general linear hypothesis testing (GLHT) problem. Some existing tests for two-sample problem [see Bai, Zhidong, and Hewa Saranadasa.(1996) ; Chen, Song Xi, and Ying-Li Qin.(2010) ; Srivastava, Muni S., and Meng Du.(2008) ; Srivastava, Muni S., Shota Katayama, and Yutaka Kano.(2013)]. Normal-reference tests for two-sample problem [see Zhang, Jin-Ting, Jia Guo, Bu Zhou, and Ming-Yen Cheng.(2020) ; Zhang, Jin-Ting, Bu Zhou, Jia Guo, and Tianming Zhu.(2021) ; Zhang, Liang, Tianming Zhu, and Jin-Ting Zhang.(2020) ; Zhang, Liang, Tianming Zhu, and Jin-Ting Zhang.(2023) ; Zhang, Jin-Ting, and Tianming Zhu.(2022) ; Zhang, Jin-Ting, and Tianming Zhu.(2022) ; Zhu, Tianming, Pengfei Wang, and Jin-Ting Zhang.(2023) ]. Some existing tests for GLHT problem [see Fujikoshi, Yasunori, Tetsuto Himeno, and Hirofumi Wakaki.(2004) ; Srivastava, Muni S., and Yasunori Fujikoshi.(2006) ; Yamada, Takayuki, and Muni S. Srivastava.(2012) ; Schott, James R.(2007) ; Zhou, Bu, Jia Guo, and Jin-Ting Zhang.(2017) ]. Normal-reference tests for GLHT problem [see Zhang, Jin-Ting, Jia Guo, and Bu Zhou.(2017) ; Zhang, Jin-Ting, Bu Zhou, and Jia Guo.(2022) ; Zhu, Tianming, Liang Zhang, and Jin-Ting Zhang.(2022) ; Zhu, Tianming, and Jin-Ting Zhang.(2022) ; Zhang, Jin-Ting, and Tianming Zhu.(2022) ].
How to cite:
Pengfei Wang (2024). HDNRA: High-Dimensional Location Testing with Normal-Reference Approaches. R package version 2.0.1, https://cran.r-project.org/web/packages/HDNRA. Accessed 16 Jul. 2026.
Previous versions and publish date:
1.0.0 (2024-02-27 18:40), 2.0.0 (2024-10-18 11:40), 2.0.1 (2024-10-22 10:20), (2026-07-09 08:06)
Other packages that cited HDNRA R package
View HDNRA citation profile
Other R packages that HDNRA depends, imports, suggests or enhances
Complete documentation for HDNRA
Functions, R codes and Examples using the HDNRA R package
Full HDNRA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

wordnet  
WordNet Interface
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
Download / Learn more Package Citations See dependency  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  
schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
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  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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