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  "Description": "Fast implementations of survey sampling algorithms for\nsingle-stage probability sampling from finite populations,\nwritten in C. Provides equal probability methods (simple random\nsampling, systematic, Bernoulli), unequal probability methods\n(conditional Poisson / maximum entropy, Sampford, Brewer,\nsystematic PPS, Pareto, sequential Poisson, Poisson, Chromy's\nminimum replacement, multinomial), balanced sampling via the\ncube method, and spatially balanced sampling via the local\npivotal method and spatially correlated Poisson sampling. All\nsampling functions return design objects carrying sample\nindices, inclusion probabilities, and design metadata. Generics\ncompute joint inclusion probabilities, pairwise expectations,\nand sampling covariances for variance estimation. Mostly based\non algorithms from Tillé (2006, <doi:10.1007/0-387-34240-0>).",
  "License": "GPL (>= 2)",
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      "title": "sondage: Survey Sampling Algorithms",
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        "sondage"
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        "inclusion_prob.wr"
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        "joint_inclusion_prob.wor",
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        "print.sondage_sample",
        "print.unequal_prob"
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