{ "_id": "6a18156cacfb0bcc41daf46a", "Package": "bvpa", "Type": "Package", "Title": "Bivariate Pareto Distribution", "Version": "1.0.0", "Date": "2023-08-07", "Authors@R": "c(person(\"Biplab\", \"Paul\", role = c(\"aut\", \"cre\"), email = \"paul.biplab497@gmail.com\"), \nperson(\"Arabin Kumar\", \"Dey\", role = c(\"aut\")))", "Maintainer": "Biplab Paul ", "Description": "Implements the EM algorithm with one-step Gradient Descent\nmethod to estimate the parameters of the Block-Basu bivariate\nPareto distribution with location and scale. We also found\nparametric bootstrap and asymptotic confidence intervals based\non the observed Fisher information of scale and shape\nparameters, and exact confidence intervals for location\nparameters. Details are in Biplab Paul and Arabin Kumar Dey\n(2023) \"An EM algorithm for\nabsolutely continuous Marshall-Olkin bivariate Pareto\ndistribution with location and scale\"; E L Lehmann and George\nCasella (1998) \"Theory of Point\nEstimation\"; Bradley Efron and R J Tibshirani (1994)\n \"An Introduction to the Bootstrap\";\nA P Dempster, N M Laird and D B Rubin (1977)\n \"Maximum Likelihood from\nIncomplete Data via the EM Algorithm\".", "License": "GPL (>= 2)", "RoxygenNote": "7.2.3", "Author": "Biplab Paul [aut, cre], Arabin Kumar Dey [aut]", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 10:09:55 UTC", "User": "root" }, "Repository": "https://biplab44.r-universe.dev", "Date/Publication": "2023-08-08 16:36:34 UTC", "RemoteUrl": "https://github.com/cran/bvpa", "RemoteRef": "HEAD", "RemoteSha": "5900ce7a875bdd6d50661b0a7edfe6e9dfc4e2b0", "MD5sum": "158560dd50a676ab0c4d3291975d2940", "_user": "biplab44", "_type": "src", "_file": 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