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  "Description": "Selection of spatially balanced samples. In particular,\nthe implemented sampling designs allow to select probability\nsamples well spread over the population of interest, in any\ndimension and using any distance function (e.g. Euclidean\ndistance, Manhattan distance). For more details, Pantalone F,\nBenedetti R, and Piersimoni F (2022)\n<doi:10.18637/jss.v103.c02>, Benedetti R and Piersimoni F\n(2017) <doi:10.1002/bimj.201600194>, and Benedetti R and\nPiersimoni F (2017) <arXiv:1710.09116>. The implementation has\nbeen done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.",
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      "buildurl": "https://github.com/r-universe/francescopantalone/actions/runs/39110189320"
    }
  ]
}