R: High-Dimensional Location Testing with Normal-Reference Approaches

# High-Dimensional Location Testing with Normal-Reference Approaches

## Documentation for package ‘HDNRA’ version 2.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

BS1996.TS.NABT | Normal-approximation-based test for two-sample problem proposed by Bai and Saranadasa (1996)
CCXH2024.GLHTBF.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for GLHT problem proposed by Cao et al. (2024)
corneal | HDNRA_data corneal
COVID19 | HDNRA_data COVID19
CQ2010.TSBF.NABT | Normal-approximation-based test for two-sample BF problem proposed by Chen and Qin (2010)
FHW2004.GLHT.NABT | Normal-approximation-based test for GLHT problem proposed by Fujikoshi et al. (2004)
LHNB2025.GLHTBF.NABT | Normal-approximation-based test for k-sample linear hypothesis via random integration proposed by Li et al. (2025)
NRtest.object | S3 Class "NRtest"
print.NRtest | Print Method for S3 Class "NRtest"
S2007.ks.NABT | Normal-approximation-based test for one-way MANOVA problem proposed by Schott (2007)
SD2008.TS.NABT | Normal-approximation-based test for two-sample problem proposed by Srivastava and Du (2008)
SF2006.GLHT.NABT | Normal-approximation-based test for GLHT problem proposed by Srivastava and Fujikoshi (2006)
SKK2013.TSBF.NABT | Normal-approximation-based test for two-sample BF problem proposed by Srivastava et al. (2013)
WZ2026.GLHTBF.2cNRT | F-approximation-based F-type test for GLHT problem under heteroscedasticity
YS2012.GLHT.NABT | Normal-approximation-based test for GLHT problem proposed by Yamada and Srivastava (2012)
ZGZ2017.GLHT.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for GLHT problem proposed Zhang et al. (2017)
ZGZ2017.GLHTBF.NABT | Normal-approximation-based test for GLHT problem under heteroscedasticity proposed by Zhou et al. (2017)
ZGZC2020.TS.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for two-sample problem proposed by Zhang et al. (2020)
ZWZ2023.TSBF.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for two-sample BF problem proposed by Zhu et al. (2023)
ZZ2022.GLHT.3cNRT | Normal-reference-test with three-cumulant (3-c) matched $\chi^2$-approximation for GLHT problem proposed by Zhu and Zhang (2022)
ZZ2022.GLHTBF.3cNRT | Normal-reference-test with three-cumulant (3-c) matched $\chi^2$-approximation for GLHT problem under heteroscedasticity proposed by Zhang and Zhu (2022)
ZZ2022.TS.3cNRT | Normal-reference-test with three-cumulant (3-c) matched $\chi^2$-approximation for two-sample problem proposed by Zhang and Zhu (2022)
ZZ2022.TSBF.3cNRT | Normal-reference-test with three-cumulant (3-c) matched $\chi^2$-approximation for two-sample BF problem proposed by Zhang and Zhu (2022)
ZZG2022.GLHTBF.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for GLHT problem under heteroscedasticity proposed by Zhang et al. (2022)
ZZGZ2021.TSBF.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for two-sample BF problem proposed by Zhang et al. (2021)
ZZZ2020.TS.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for two-sample problem proposed by Zhang et al. (2020)
ZZZ2022.GLHT.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for GLHT problem proposed by Zhu et al. (2022)
ZZZ2023.TSBF.2cNRT | Normal-reference-test with two-cumulant (2-c) matched $\chi^2$-approximation for two-sample BF problem proposed by Zhang et al. (2023)