{ "_id": "6a12c82cacfb0bcc41d208f5", "Package": "AsymmetricSORDs", "Type": "Package", "Title": "Asymmetric Second Order Rotatable Designs (AsymmetricSORDs)", "Version": "1.0.0", "Authors@R": "c(person(\"Eldho\", \"Varghese\", email = \"eldhoiasri@gmail.com\" , role = c( \"aut\",\"ctb\")), person(\"Ashutosh\",\"Dalal\", email = \"ashutosh.dalal97@gmail.com\", role =c( \"aut\", \"cre\")), person(\"Hemavathi\", \"Manivannan\", email = \" hemavathi.phdstat@gmail.com \" , role =c( \"aut\",\"ctb\")),person(\"Seema\", \"Jaggi\", email = \"seema.jaggi@icar.gov.in\", role =c( \"aut\",\"ctb\")) )", "Maintainer": "Ashutosh Dalal ", "Description": "Response surface designs (RSDs) are widely used for\nResponse Surface Methodology (RSM) based optimization studies,\nwhich aid in exploring the relationship between a group of\nexplanatory variables and one or more response variable(s)\n(G.E.P. Box and K.B. Wilson (1951), \"On the experimental\nattainment of optimum conditions\" ; M. Hemavathi, Shashi\nShekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes\nKumar Mandal (2022) .\"Theoretical developments in\nresponse surface designs: an informative review and further\nthoughts\".). Second order rotatable designs are the most\nprominent and popular class of designs used for process and\nproduct optimization trials but it is suitable for situations\nwhen all the number of levels for each factor is the same. In\nmany practical situations, RSDs with asymmetric levels (J.S.\nMehta and M.N. Das (1968). \"Asymmetric rotatable designs and\northogonal transformations\" ; M. Hemavathi, Eldho Varghese,\nShashi Shekhar & Seema Jaggi (2020) . \"Sequential asymmetric third\norder rotatable designs (SATORDs)\" .) are more suitable as\nthese designs explore more regions in the design space.This\npackage contains functions named Asords() ,CCD_coded(),\nCCD_original(), SORD_coded() and SORD_original() for generating\nasymmetric/symmetric RSDs along with the randomized layout. It\nalso contains another function named Pred.var() for generating\nthe variance of predicted response as well as the moment matrix\nbased on a second order model.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.1.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 09:38:40 UTC", "User": "root" }, "Author": "Eldho Varghese [aut, ctb], Ashutosh Dalal [aut, cre], Hemavathi\nManivannan [aut, ctb], Seema Jaggi [aut, ctb]", "Repository": "https://ashutoshdalal97.r-universe.dev", "Date/Publication": "2022-04-28 06:40:05 UTC", "RemoteUrl": "https://github.com/cran/AsymmetricSORDs", "RemoteRef": "HEAD", "RemoteSha": "51468fb6f1974b167cbbf2926dcc5b9b81be161f", "MD5sum": "2d374e4f687fa41e77b177803f8c998b", "_user": "ashutoshdalal97", "_type": "src", "_file": "AsymmetricSORDs_1.0.0.tar.gz", "_fileid": "6037268138b758a93fd0bec4fa03e5b808f90471db7e249ca5a35206641adf06", "_filesize": 127558, "_sha256": "6037268138b758a93fd0bec4fa03e5b808f90471db7e249ca5a35206641adf06", 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