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  "Title": "High-Dimensional Location Testing with Normal-Reference\nApproaches",
  "Version": "2.1.0",
  "Date": "2026-04-27",
  "Authors@R": "c(person(\"Pengfei\", \"Wang\", role = c(\"aut\", \"cre\"),\nemail = \"nie23.wp8738@e.ntu.edu.sg\"),\nperson(\"Shuqi\", \"Luo\", role = c(\"aut\"),\nemail = \"nie23.ls4909@e.ntu.edu.sg\"),\nperson(\"Tianming\", \"Zhu\", role = c(\"aut\"),\nemail = \"tianming.zhu@nie.edu.sg\"),\nperson(\"Bu\", \"Zhou\", role = c(\"aut\"),\nemail = \"bu.zhou@u.nus.edu\"))",
  "Author": "Pengfei Wang [aut, cre], Shuqi Luo [aut], Tianming Zhu [aut],\nBu Zhou [aut]",
  "Maintainer": "Pengfei Wang <nie23.wp8738@e.ntu.edu.sg>",
  "Description": "Provides inverse-free high-dimensional location tests for\ntwo-sample and general linear hypothesis testing (GLHT)\nproblems under equal or unequal covariance structures. The\npackage implements classical normal-approximation procedures,\nscale-invariant procedures, normal-reference procedures based\non covariance-matched Gaussian companions, and F-type\nnormal-reference calibrations for heteroscedastic\nBehrens-Fisher and GLHT settings. Implemented two-sample\nnormal-approximation and scale-invariant procedures include Bai\nand Saranadasa (1996) <https://www.jstor.org/stable/24306018>,\nChen and Qin (2010) <doi:10.1214/09-aos716>, Srivastava and Du\n(2008) <doi:10.1016/j.jmva.2006.11.002>, and Srivastava et al.\n(2013) <doi:10.1016/j.jmva.2012.08.014>. Implemented two-sample\nnormal-reference procedures include Zhang, Guo, Zhou and Cheng\n(2020) <doi:10.1080/01621459.2019.1604366>, Zhang, Zhou, Guo\nand Zhu (2021) <doi:10.1016/j.jspi.2020.11.008>, Zhang, Zhu and\nZhang (2020) <doi:10.1016/j.ecosta.2019.12.002>, Zhang, Zhu and\nZhang (2023) <doi:10.1080/02664763.2020.1834516>, Zhang and Zhu\n(2022) <doi:10.1080/10485252.2021.2015768>, Zhang and Zhu\n(2022) <doi:10.1007/s42519-021-00232-w>, and Zhu, Wang and\nZhang (2023) <doi:10.1007/s00180-023-01433-6>. Implemented GLHT\nnormal-approximation procedures include Fujikoshi et al. (2004)\n<doi:10.14490/jjss.34.19>, Srivastava and Fujikoshi (2006)\n<doi:10.1016/j.jmva.2005.08.010>, Yamada and Srivastava (2012)\n<doi:10.1080/03610926.2011.581786>, Schott (2007)\n<doi:10.1016/j.jmva.2006.11.007>, and Zhou, Guo and Zhang\n(2017) <doi:10.1016/j.jspi.2017.03.005>. Implemented GLHT\nnormal-reference procedures include Zhang, Guo and Zhou (2017)\n<doi:10.1016/j.jmva.2017.01.002>, Zhang, Zhou and Guo (2022)\n<doi:10.1016/j.jmva.2021.104816>, Zhu, Zhang and Zhang (2022)\n<doi:10.5705/ss.202020.0362>, Zhu and Zhang (2022)\n<doi:10.1007/s00180-021-01110-6>, Zhang and Zhu (2022)\n<doi:10.1016/j.csda.2021.107385>, and Cao et al. (2024)\n<doi:10.1007/s00362-024-01530-8>. The package also includes the\nrandom-integration normal-approximation GLHT procedure of Li et\nal. (2025) <doi:10.1007/s00362-024-01624-3>. A package-level\noverview is given in Wang, Zhu and Zhang (2026)\n<doi:10.1016/j.csda.2025.108269>.",
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