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  "Title": "Minimally Changed Two-Level Half-Fractional Factorial Designs",
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  "Authors@R": "c(person(given = \"Bijoy\", family = \"Chanda\", role = c(\"aut\",\"cre\",\"ctb\"),email = \"bijoychanda08@gmail.com\"),\nperson(given = \"Arpan\", family = \"Bhowmik\", role = c(\"aut\",\"ctb\"), email = \"arpan.stat@gmail.com\"),\nperson(given = \"Seema\", family = \"Jaggi\", role = \"aut\",email = \"seema.jaggi@icar.gov.in\" ),\nperson(given = \"Eldho\", family = \"Varghese\", role = c(\"aut\", \"ctb\"),email =\"eldhoiasri@gmail.com\" ),\nperson(given = \"Cini\", family = \"Varghese\", role = \"aut\",email = \"cini.varghese@icar.gov.in\"),\nperson(given = \"Anindita\", family = \"Datta\", role = \"aut\",email = \"aninditaiasri@gmail.com\" ),\nperson(given = \"Dibyendu\", family = \"Deb\", role = \"aut\",email = \"debiasri@gmail.com\" ))",
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  "Description": "In many agricultural, engineering, industrial,\npost-harvest and processing experiments, the number of factor\nlevel changes and hence the total number of changes is of\nserious concern as such experiments may consists of\nhard-to-change factors where it is physically very difficult to\nchange levels of some factors or sometime such experiments may\nrequire normalization time to obtain adequate operating\ncondition. For this reason, run orders that offer the minimum\nnumber of factor level changes and at the same time minimize\nthe possible influence of systematic trend effects on the\nexperimentation have been sought. Factorial designs with\nminimum changes in factors level may be preferred for such\nsituations as these minimally changed run orders will minimize\nthe cost of the experiments. This technique can be employed to\nany half replicate of two level factorial run order where the\nnumber of factors are greater than two. For method details see,\nBhowmik, A., Varghese, E., Jaggi, S. and Varghese, C. (2017)\n<doi:10.1080/03610926.2016.1152490>. This package generates all\npossible minimally changed two-level half-fractional factorial\ndesigns for different experimental setups along with various\nstatistical criteria to measure the performance of these\ndesigns through a user-friendly interface. It consist of the\nfunction minimal.2halfFFD() which launches the application\ninterface.",
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      "title": "Construct All Possible Minimally Changed Two-Level Half-Fractional Factorial Designs",
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        "Introduction",
        "What are Minimally Changed Factorial and Fractional Factorial Designs?",
        "Minimally Changed Run Sequences in Half-Replicate of (2^k) Fractional Factorial Designs",
        "Statistical Criteria for Evaluating Minimally Changed Designs",
        "Using the min2HalfFFD Package",
        "Install and Load the package",
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