Package: HDNRA
Type: Package
Title: High-Dimensional Location Testing with Normal-Reference
        Approaches
Version: 2.1.0
Date: 2026-04-27
Authors@R: c(person("Pengfei", "Wang", role = c("aut", "cre"),
                      email = "nie23.wp8738@e.ntu.edu.sg"),
              person("Shuqi", "Luo", role = c("aut"),
                     email = "nie23.ls4909@e.ntu.edu.sg"),
              person("Tianming", "Zhu", role = c("aut"),
                     email = "tianming.zhu@nie.edu.sg"),
              person("Bu", "Zhou", role = c("aut"),
                     email = "bu.zhou@u.nus.edu"))
Author: Pengfei Wang [aut, cre],
  Shuqi Luo [aut],
  Tianming Zhu [aut],
  Bu Zhou [aut]
Maintainer: Pengfei Wang <nie23.wp8738@e.ntu.edu.sg>
Description: Provides inverse-free high-dimensional location tests for two-sample
    and general linear hypothesis testing (GLHT) problems under equal or unequal
    covariance structures. The package implements classical normal-approximation
    procedures, scale-invariant procedures, normal-reference procedures based on
    covariance-matched Gaussian companions, and F-type normal-reference
    calibrations for heteroscedastic Behrens-Fisher and GLHT settings. Implemented
    two-sample normal-approximation and scale-invariant procedures include Bai and
    Saranadasa (1996) <https://www.jstor.org/stable/24306018>, Chen and Qin
    (2010) <doi:10.1214/09-aos716>, Srivastava and Du (2008)
    <doi:10.1016/j.jmva.2006.11.002>, and Srivastava et al. (2013)
    <doi:10.1016/j.jmva.2012.08.014>. Implemented two-sample normal-reference
    procedures include Zhang, Guo, Zhou and Cheng (2020)
    <doi:10.1080/01621459.2019.1604366>, Zhang, Zhou, Guo and Zhu (2021)
    <doi:10.1016/j.jspi.2020.11.008>, Zhang, Zhu and Zhang (2020)
    <doi:10.1016/j.ecosta.2019.12.002>, Zhang, Zhu and Zhang (2023)
    <doi:10.1080/02664763.2020.1834516>, Zhang and Zhu (2022)
    <doi:10.1080/10485252.2021.2015768>, Zhang and Zhu (2022)
    <doi:10.1007/s42519-021-00232-w>, and Zhu, Wang and Zhang (2023)
    <doi:10.1007/s00180-023-01433-6>. Implemented GLHT normal-approximation
    procedures include Fujikoshi et al. (2004) <doi:10.14490/jjss.34.19>,
    Srivastava and Fujikoshi (2006) <doi:10.1016/j.jmva.2005.08.010>, Yamada
    and Srivastava (2012) <doi:10.1080/03610926.2011.581786>, Schott (2007)
    <doi:10.1016/j.jmva.2006.11.007>, and Zhou, Guo and Zhang (2017)
    <doi:10.1016/j.jspi.2017.03.005>. Implemented GLHT normal-reference
    procedures include Zhang, Guo and Zhou (2017)
    <doi:10.1016/j.jmva.2017.01.002>, Zhang, Zhou and Guo (2022)
    <doi:10.1016/j.jmva.2021.104816>, Zhu, Zhang and Zhang (2022)
    <doi:10.5705/ss.202020.0362>, Zhu and Zhang (2022)
    <doi:10.1007/s00180-021-01110-6>, Zhang and Zhu (2022)
    <doi:10.1016/j.csda.2021.107385>, and Cao et al. (2024)
    <doi:10.1007/s00362-024-01530-8>. The package also includes the
    random-integration normal-approximation GLHT procedure of Li et al. (2025)
    <doi:10.1007/s00362-024-01624-3>. A package-level overview is given in Wang,
    Zhu and Zhang (2026) <doi:10.1016/j.csda.2025.108269>.
License: GPL (>= 3)
URL: https://github.com/nie23wp8738/HDNRA,
        https://nie23wp8738.github.io/HDNRA/
BugReports: https://github.com/nie23wp8738/HDNRA/issues
Encoding: UTF-8
RoxygenNote: 7.3.2
SystemRequirements: OpenMP
LinkingTo: Rcpp, RcppArmadillo
Imports: expm, Rcpp, Rdpack, readr, stats, utils
Suggests: devtools, dplyr, knitr, rmarkdown, spelling, testthat (>=
        3.0.0), tidyr
RdMacros: Rdpack
Depends: R (>= 4.0.0)
LazyData: true
Language: en-US
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-04-29 05:48:22 UTC; yehe
Repository: CRAN
Date/Publication: 2026-04-29 07:00:08 UTC
