{ "_id": "6a1bf5e21d7bb097a0a26214", "Package": "Docovt", "Title": "Distributed Online Covariance Matrix Tests", "Date": "2025-09-02", "Version": "0.3", "Authors@R": "c(person(\"Guangbao\", \"Guo\",role = c(\"aut\", \"cre\"),\nemail = \"ggb11111111@163.com\",\ncomment = c(ORCID = \"0000-0002-4115-6218\")),\nperson(\"Congfan\", \"Zhang\", role=\"aut\"))", "Description": "Distributed Online Covariance Matrix Tests 'Docovt' is a\npowerful tool designed to efficiently process and analyze\ndistributed datasets. It enables users to perform covariance\nmatrix tests in an online, distributed manner, making it highly\nsuitable for large-scale data analysis. By leveraging advanced\ncomputational techniques, 'Docovt' ensures robust and scalable\nsolutions for statistical analysis, particularly in scenarios\nwhere data is dispersed across multiple nodes or sources. This\npackage is ideal for researchers and practitioners working with\nhigh-dimensional data, providing a flexible and efficient\nframework for covariance matrix estimation and hypothesis\ntesting. 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