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  "Description": "Given independent and identically distributed observations\nX(1), ..., X(n) from a density f, provides five methods to\nperform a multiscale analysis about f as well as the necessary\ncritical values. The first method, introduced in Duembgen and\nWalther (2008), provides simultaneous confidence statements for\nthe existence and location of local increases (or decreases) of\nf, based on all intervals I(all) spanned by any two\nobservations X(j), X(k). The second method approximates the\nlatter approach by using only a subset of I(all) and is\ntherefore computationally much more efficient, but\nasymptotically equivalent. Omitting the additive correction\nterm Gamma in either method offers another two approaches which\nare more powerful on small scales and less powerful on large\nscales, however, not asymptotically minimax optimal anymore.\nFinally, the block procedure is a compromise between adding\nGamma or not, having intermediate power properties. The latter\nis again asymptotically equivalent to the first and was\nintroduced in Rufibach and Walther (2010).",
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      "object": "cvModeBlock",
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        "block.5",
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        "block.7",
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      "title": "Multiscale Analysis for Density Functions",
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        "mode hunting",
        "modehunt",
        "multiscale"
      ]
    },
    {
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      "title": "Computes number of observations for each block",
      "topics": [
        "blocks"
      ]
    },
    {
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      "title": "Compute critical values based on the set of all intervals",
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        "criticalValuesAll"
      ]
    },
    {
      "page": "criticalValuesApprox",
      "title": "Compute critical values for (1) the original test statistic with or without additive correction, based on the aprroximating set of intervals and (2) for the block procedure",
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        "criticalValuesBlock"
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      "title": "Critical values for test statistic based on the approximating set of intervals",
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    },
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      "page": "cvModeBlock",
      "title": "Critical values for test statistic based on the block procedure",
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        "lin",
        "plin",
        "qlin",
        "rlin"
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