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Authored by nahimilega on May 26 2019, 7:44 PM.
[
{
"Package": "A3",
"Version": "1.0.0",
"Depends": "R (>= 2.15.0), xtable, pbapply",
"Suggests": "randomForest, e1071",
"License": "GPL (>= 2)",
"NeedsCompilation": "no",
"Author": "Scott Fortmann-Roe",
"Date": "2015-08-15",
"Description": "Supplies tools for tabulating and analyzing the results of predictive models. The methods employed are applicable to virtually any predictive model and make comparisons between different methodologies straightforward.",
"Maintainer": "Scott Fortmann-Roe <scottfr@berkeley.edu>",
"Packaged": "2015-08-16 14:17:33 UTC; scott",
"Title": "Accurate, Adaptable, and Accessible Error Metrics for Predictive\nModels",
"Type": "Package",
"Published": "2015-08-16",
"MD5sum.1": "027ebdd8affce8f0effaecfcd5f5ade2"
},
{
"Package": "abbyyR",
"Version": "0.5.4",
"Depends": "R (>= 3.2.0)",
"Imports": "httr, XML, curl, readr, plyr, progress",
"Suggests": "testthat, rmarkdown, knitr (>= 1.11), lintr",
"License": "MIT + file LICENSE",
"NeedsCompilation": "no",
"Author": "Gaurav Sood [aut, cre]",
"Authors@R": "person(\"Gaurav\", \"Sood\", email = \"gsood07@gmail.com\", role = c(\"aut\", \"cre\"))",
"BugReports": "http://github.com/soodoku/abbyyR/issues",
"Description": "Get text from images of text using Abbyy Cloud Optical Character\n Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with\n machine readable zones, e.g. passports. Get the results in a variety of formats\n including plain text and XML. To learn more about the Abbyy OCR API, see \n <http://ocrsdk.com/>.",
"LazyData": "true",
"Maintainer": "Gaurav Sood <gsood07@gmail.com>",
"Packaged": "2018-05-30 12:47:37 UTC; soodoku",
"Title": "Access to Abbyy Optical Character Recognition (OCR) API",
"URL": "http://github.com/soodoku/abbyyR",
"VignetteBuilder": "knitr",
"Published": "2018-05-30",
"MD5sum.1": "e943e1cc292b17b3e42885976fef9412"
},
{
"Package": "abc",
"Version": "2.1",
"Depends": "R (>= 2.10), abc.data, nnet, quantreg, MASS, locfit",
"License": "GPL (>= 3)",
"NeedsCompilation": "no",
"Author": "Csillery Katalin [aut],\n Lemaire Louisiane [aut],\n Francois Olivier [aut],\n Blum Michael [aut, cre]",
"Authors@R": "c( \n person(\"Csillery\", \"Katalin\", role = \"aut\", email=\"kati.csillery@gmail.com\"),\n person(\"Lemaire\", \"Louisiane\", role = \"aut\"),\n person(\"Francois\", \"Olivier\", role = \"aut\"),\n person(\"Blum\", \"Michael\",\n email = \"michael.blum@imag.fr\", role = c(\"aut\", \"cre\")))",
"Date": "2015-05-04",
"Description": "Implements several ABC algorithms for\n performing parameter estimation, model selection, and goodness-of-fit.\n Cross-validation tools are also available for measuring the\n accuracy of ABC estimates, and to calculate the\n misclassification probabilities of different models.",
"Maintainer": "Blum Michael <michael.blum@imag.fr>",
"Packaged": "2015-05-05 08:35:25 UTC; mblum",
"Title": "Tools for Approximate Bayesian Computation (ABC)",
"Type": "Package",
"Published": "2015-05-05",
"Reverse depends": "abctools, EasyABC",
"Reverse imports": "ecolottery",
"Reverse suggests": "coala",
"MD5sum.1": "c9fffe4334c178917f762735aba59653"
},
{
"Package": "abc.data",
"Version": "1.0",
"Depends": "R (>= 2.10)",
"License": "GPL (>= 3)",
"NeedsCompilation": "no",
"Author": "Csillery Katalin [aut],\n Lemaire Louisiane [aut],\n Francois Olivier [aut],\n Blum Michael [aut, cre]",
"Authors@R": "c( \n person(\"Csillery\", \"Katalin\", role = \"aut\", email=\"kati.csillery@gmail.com\"),\n person(\"Lemaire\", \"Louisiane\", role = \"aut\"),\n person(\"Francois\", \"Olivier\", role = \"aut\"),\n person(\"Blum\", \"Michael\",\n email = \"michael.blum@imag.fr\", role = c(\"aut\", \"cre\")))",
"Date": "2015-05-04",
"Description": "Contains data which are used by functions of the 'abc' package.",
"Maintainer": "Blum Michael <michael.blum@imag.fr>",
"Packaged": "2015-05-05 09:25:25 UTC; mblum",
"Title": "Data Only: Tools for Approximate Bayesian Computation (ABC)",
"Type": "Package",
"Published": "2015-05-05",
"Reverse depends": "abc",
"Reverse suggests": "abctools",
"MD5sum.1": "799079dbbdd0cfc9d9c61c3e35241806"
},
{
"Package": "ABC.RAP",
"Version": "0.9.0",
"Depends": "R (>= 3.1.0)",
"Imports": "graphics, stats, utils",
"Suggests": "knitr, rmarkdown",
"License": "GPL-3",
"NeedsCompilation": "no",
"Author": "Abdulmonem Alsaleh [cre, aut], Robert Weeks [aut], Ian Morison [aut], RStudio [ctb]",
"Contact": "Ian Morison <ian.morison@otago.ac.nz>",
"Description": "It aims to identify candidate genes that are “differentially\n methylated” between cases and controls. It applies Student’s t-test and delta beta analysis to\n identify candidate genes containing multiple “CpG sites”.",
"Encoding": "UTF-8",
"Maintainer": "Abdulmonem Alsaleh <a.alsaleh@hotmail.co.nz>",
"Packaged": "2016-10-20 01:50:08 UTC; abdul",
"SystemRequirements": "GNU make",
"Title": "Array Based CpG Region Analysis Pipeline",
"VignetteBuilder": "knitr",
"Published": "2016-10-20",
"MD5sum.1": "38c65a7251d28ef2462ee430ded95700"
}
]

Event Timeline

nahimilega created this object in space S1 Public.