{ "_id": "6a105b19acfb0bcc41ca3d10", "Package": "selectiongain", "Type": "Package", "Title": "A Tool for Calculation and Optimization of the Expected Gain\nfrom Multi-Stage Selection", "Version": "2.0.710", "Date": "2022-09-17", "Author": "Xuefei Mi, Jose Marulanda, H. Friedrich Utz, Albrecht E.\nMelchinger (Project contact person: Melchinger@uni-hohenheim.de\n)", "Maintainer": "Xuefei Mi ", "Description": "Multi-stage selection is practiced in numerous fields of\nlife and social sciences and particularly in breeding. A\nspecial characteristic of multi-stage selection is that\ncandidates are evaluated in successive stages with increasing\nintensity and effort, and only a fraction of the superior\ncandidates is selected and promoted to the next stage. For the\noptimum design of such selection programs, the selection gain\nplays a crucial role. It can be calculated by integration of a\ntruncated multivariate normal (MVN) distribution. While\nmathematical formulas for calculating the selection gain and\nthe variance among selected candidates were developed long time\nago, solutions for numerical calculation were not available.\nThis package can also be used for optimizing multi-stage\nselection programs for a given total budget and different costs\nof evaluating the candidates in each stage.", "License": "GPL-2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-09 05:46:51 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-09-17 08:56:04 UTC", "RemoteUrl": "https://github.com/cran/selectiongain", "RemoteRef": "HEAD", "RemoteSha": "511ee4bbbf81d56e82a90356b9790e5add422af9", "MD5sum": "5c481ae405e2454b608c3c1d2381daec", "_user": "cran", "_type": "src", "_file": "selectiongain_2.0.710.tar.gz", "_fileid": "68b1dd0cdfb7276b5c408a1d14394427cbcc4c2af425f21f37fa9f967e6874f7", "_filesize": 318541, "_sha256": "68b1dd0cdfb7276b5c408a1d14394427cbcc4c2af425f21f37fa9f967e6874f7", 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"mi_xue_fei@hotmail.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "mvtnorm", "role": "Depends" }, { "package": "parallel", "role": "Depends" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 2, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 213, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/selectiongain" }, "_searchresults": 16, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/selectiongain.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2008-11-24" }, { "version": "1.1.7.0", "date": "2011-10-23" }, { "version": "1.1.8.0", "date": "2011-11-28" }, { "version": "1.2.1.0", "date": "2011-12-10" }, { "version": "2.0.1", "date": "2012-07-12" }, { "version": "2.0.6", "date": "2013-05-02" }, { "version": "2.0.22", "date": "2013-09-19" }, { "version": "2.0.23", "date": "2013-09-25" }, { "version": "2.0.27", "date": "2013-10-18" }, { "version": "2.0.28", "date": "2013-10-22" }, { "version": "2.0.29", "date": "2013-12-11" }, { "version": "2.0.40", "date": "2014-12-29" }, { "version": "2.0.50.1", "date": "2016-03-14" }, { "version": "2.0.591", "date": "2016-10-09" }, { "version": "2.0.707", "date": "2022-02-12" }, { "version": "2.0.710", "date": "2022-09-17" } ], "_exports": [ "multistagecor", "multistagegain", "multistagegain.each", "multistageoptimum.grid", "multistageoptimum.nlm", "multistageoptimum.search", "multistageoptimum.searchIndexT", "multistageoptimum.searchThreeS", "multistagetp", "multistagevariance", "SDselectiongain" ], "_help": [ { "page": "multistagecor", "title": "Function for calculating correlation matrix in a plant breeding context", "topics": [ "multistagecor" ] }, { "page": "multistagegain", "title": "Function for calculating the expected multi-stage selection gain", "topics": [ "multistagegain" ] }, { "page": "multistagegain.each", "title": "Function for calculating the selection gain in each stage", "topics": [ "multistagegain.each" ] }, { "page": "multistageoptimum.grid", "title": "Function for optimizing multi-stage selection with grid algorithm for a given correlation matrix", "topics": [ "multistageoptimum.grid" ] }, { "page": "multistageoptimum.nlm", "title": "Function for optimizing n-stage selection with the NLM algorithm for a given correlation matrix", "topics": [ "multistageoptimum.nlm" ] }, { "page": "multistageoptimum.search", "title": "Function for optimizing three-stage selection in plant breeding with one marker-assisted selection stage and two phenotypic selection stages", "topics": [ "multistageoptimum.search" ] }, { "page": "multistageoptimum.searchIndexT", "title": "Function for optimizing three-stage selection in plant breeding with one marker-assisted selection stage and two phenotypic selection stages", "topics": [ "multistageoptimum.searchIndexT" ] }, { "page": "multistageoptimum.searchThreeS", "title": "Function for optimizing four-stage selection in plant breeding with one marker-assisted selection stage and three phenotypic selection stages", "topics": [ "multistageoptimum.searchThreeS" ] }, { "page": "multistagetp", "title": "Function for calculating the truncation points", "topics": [ "multistagetp" ] }, { "page": "multistagevariance", "title": "Expected variance after selection after k stages selection", "topics": [ "multistagevariance" ] }, { "page": "SDselectiongain", "title": "Function for calculating the standrd deviation of selection gain", "topics": [ "SDselectiongain" ] } ], "_rundeps": [ "mvtnorm" ], "_score": 1.505149978319906, "_indexed": true, "_nocasepkg": "selectiongain", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": 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"https://github.com/r-universe/cran/actions/runs/25593223915" } ] }