{ "_id": "6a1142d8acfb0bcc41ce6c62", "Package": "GB2group", "Type": "Package", "Title": "Estimation of the Generalised Beta Distribution of the Second\nKind from Grouped Data", "Version": "0.3.0", "Author": "Vanesa Jorda , Jose Maria Sarabia\n, Markus Jäntti\n.", "Maintainer": "Vanesa Jorda ", "Description": "Estimation of the generalized beta distribution of the\nsecond kind (GB2) and related models using grouped data in form\nof income shares. The GB2 family is a general class of\ndistributions that provides an accurate fit to income data.\n'GB2group' includes functions to estimate the GB2, the\nSingh-Maddala, the Dagum, the Beta 2, the Lognormal and the\nFisk distributions. 'GB2group' deploys two different\neconometric strategies to estimate these parametric\ndistributions, the equally weighted minimum distance (EWMD)\nestimator and the optimally weighted minimum distance (OMD)\nestimator. Asymptotic standard errors are reported for the OMD\nestimates. Standard errors of the EWMD estimates are obtained\nby Monte Carlo simulation. See Jorda et al. (2018)\n for a detailed description of the estimation\nprocedure.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 05:58:54 UTC", "User": "root" }, "Config/pak/sysreqs": "make pari-gp", "Repository": "https://jordavuc.r-universe.dev", "Date/Publication": "2021-01-26 16:00:09 UTC", "RemoteUrl": "https://github.com/cran/GB2group", "RemoteRef": "HEAD", "RemoteSha": "47adc1f2ef13aa307d3141398df2f6a95913d195", "MD5sum": "7d8d5ee1b43d35fe595dfac2cf936fce", "_user": "jordavuc", "_type": "src", "_file": "GB2group_0.3.0.tar.gz", "_fileid": "c02c76684c8fb29cdc04bee79744d8d7a42d018ce4afa10b7746bcea5d33b21e", "_filesize": 221484, "_sha256": "c02c76684c8fb29cdc04bee79744d8d7a42d018ce4afa10b7746bcea5d33b21e", "_created": "2026-05-23T05:58:54.000Z", "_published": "2026-05-23T06:02:00.128Z", "_distro": "noble", "_jobs": [ { "job": 77501550399, "time": 155, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", 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