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  "Title": "Generalized Extended Triangular Designs ('GETdesigns')",
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  "Authors@R": "c(person(\"Mohd\",\"Harun\",email=\"Mohd.Harun@icar.gov.in\",role=c(\"aut\",\"ctb\")),person(\"Cini\",\"Varghese\",email=\"Cini.Varghese@icar.gov.in\",role=c(\"aut\",\"ctb\")),person(\"Ashutosh\",\"Dalal\", email=\"ashutosh.dalal97@gmail.com\",role=c(\"aut\",\"cre\")))",
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  "Description": "Since their introduction by Bose and Nair (1939)\n<https://www.jstor.org/stable/40383923>, partially balanced\nincomplete block (PBIB) designs remain an important class of\nincomplete block designs. The concept of association scheme was\nused by Bose and Shimamoto (1952)\n<doi:10.1080/01621459.1952.10501161> for the classification of\nthese designs. The constraint of resources always motivates the\nexperimenter to advance towards PBIB designs, more specifically\nto higher associate class PBIB designs from balanced incomplete\nblock designs. It is interesting to note that many times higher\nassociate PBIB designs perform better than their counterpart\nlower associate PBIB designs for the same set of parameters v,\nb, r, k and lambda_i (i=1,2...m). This package contains\nfunctions named GETD() for generating m-associate (m>=2) class\nPBIB designs along with parameters (v, b, r, k and lambda_i, i\n= 1, 2,…,m) based on Generalized Triangular (GT) Association\nScheme. It also calculates the Information matrix, Average\nvariance factor and canonical efficiency factor of the\ngenerated design. These designs, besides having good\nefficiency, require smaller number of replications and smallest\npossible concurrence of treatment pairs.",
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