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    "estimateBaselineMedian",
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    "force_sorted",
    "formatRt",
    "getImputeMargin",
    "gnps",
    "gnps_chain_dp",
    "gnps_r",
    "group",
    "i2index",
    "impute_bpca",
    "impute_fun",
    "impute_knn",
    "impute_matrix",
    "impute_min",
    "impute_MinDet",
    "impute_MinProb",
    "impute_mixed",
    "impute_mle",
    "impute_neighbour_average",
    "impute_QRILC",
    "impute_RF",
    "impute_with",
    "impute_zero",
    "imputeMethods",
    "isPeaksMatrix",
    "join",
    "join_gnps",
    "join_gnps_r",
    "localMaxima",
    "maxi",
    "medianPolish",
    "navdist",
    "ndotproduct",
    "nentropy",
    "neuclidean",
    "noise",
    "normalize_matrix",
    "normalizeMethods",
    "nspectraangle",
    "ppm",
    "rbindFill",
    "reduce",
    "refineCentroids",
    "retry",
    "rla",
    "robustSummary",
    "rowRla",
    "rt2character",
    "rt2numeric",
    "smooth",
    "sumi",
    "validPeaksMatrix",
    "valleys",
    "vapply1c",
    "vapply1d",
    "vapply1l",
    "which.first",
    "which.last"
  ],
  "_help": [
    {
      "page": "aggregate",
      "title": "Aggreagate quantitative features",
      "concept": [
        "Quantitative feature aggregation"
      ],
      "topics": [
        "aggregate",
        "aggregate_by_matrix",
        "aggregate_by_vector",
        "colMeansMat",
        "colSumsMat"
      ]
    },
    {
      "page": "range",
      "title": "Range helper functions",
      "concept": [
        "helper functions for developers"
      ],
      "topics": [
        "%between%",
        "between"
      ]
    },
    {
      "page": "binning",
      "title": "Binning",
      "concept": [
        "grouping/matching functions"
      ],
      "topics": [
        "bin"
      ]
    },
    {
      "page": "breaks_ppm",
      "title": "Sequence with increasing difference between elements",
      "topics": [
        "breaks_ppm"
      ]
    },
    {
      "page": "matching",
      "title": "Relaxed Value Matching",
      "concept": [
        "grouping/matching functions"
      ],
      "topics": [
        "closest",
        "common",
        "join"
      ]
    },
    {
      "page": "coerce",
      "title": "Coerce functions",
      "concept": [
        "coerce functions"
      ],
      "topics": [
        "asInteger",
        "coerce"
      ]
    },
    {
      "page": "colCounts",
      "title": "Counts the number of features",
      "concept": [
        "Quantitative feature aggregation"
      ],
      "topics": [
        "colCounts"
      ]
    },
    {
      "page": "common_path",
      "title": "Extract the common file path",
      "topics": [
        "common_path"
      ]
    },
    {
      "page": "distance",
      "title": "Spectra Distance/Similarity Measurements",
      "concept": [
        "distance/similarity functions"
      ],
      "topics": [
        "distance",
        "dotproduct",
        "navdist",
        "ndotproduct",
        "neuclidean",
        "nspectraangle"
      ]
    },
    {
      "page": "entropy",
      "title": "Spectral entropy",
      "concept": [
        "helper functions for users\n\n\n\n#' @references\n\nLi, Y., Kind, T., Folz, J., Vaniya, A., Mehta. S.S., Fiehn, O. (2021).\n\nSpectral entropy outperforms MS/MS dot product similarity for\n\nsmall-molecule compound identification.\n\nNature Methods. 2021;18(12):1524-1531.\n\nc(\"\\\\Sexpr[results=rd]{tools:::Rd_expr_doi(\\\"#1\\\")}\", \"10.1038/s41592-021-01331-z\")\nlist(list(\"text\"), list(\"doi:10.1038/s41592-021-01331-z <https://doi.org/10.1038/s41592-021-01331-z>\"), list(list(list(\"latex\"), list(list(list(\"https://doi.org/10.1038/s41592-021-01331-z\"), list(\"doi:10.1038\", list(\"\\\\slash{}\"), \"s41592\", list(\"\\\\-\"), \"021\", list(\"\\\\-\"), \"01331\", list(\"\\\\-\"), \"z\"))), list(list(list(\"https://doi.org/10.1038/s41592-021-01331-z\"), list(\"doi:10.1038/s41592-021-01331-z\"))))))\n."
      ],
      "topics": [
        "entropy",
        "nentropy"
      ]
    },
    {
      "page": "estimateBaseline",
      "title": "Estimates the Baseline of a Mass Spectrum",
      "topics": [
        "estimateBaseline",
        "estimateBaselineConvexHull",
        "estimateBaselineMedian",
        "estimateBaselineSnip",
        "estimateBaselineTopHat"
      ]
    },
    {
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      "title": "Forcing a numeric vector into a monotonously increasing sequence.",
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      ]
    },
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      "page": "gnps_chain_dp",
      "title": "Optimized GNPS Modified Cosine Similarity via Chain-DP",
      "topics": [
        "gnps_chain_dp"
      ]
    },
    {
      "page": "gnps",
      "title": "GNPS spectrum similarity scores",
      "concept": [
        "distance/similarity functions",
        "grouping/matching functions"
      ],
      "topics": [
        "gnps",
        "gnps_r",
        "join_gnps",
        "join_gnps_r"
      ]
    },
    {
      "page": "group",
      "title": "Grouping of numeric values by similarity",
      "topics": [
        "group"
      ]
    },
    {
      "page": "i2index",
      "title": "Input parameter check for subsetting operations",
      "topics": [
        "i2index"
      ]
    },
    {
      "page": "imputation",
      "title": "Quantitative mass spectrometry data imputation",
      "topics": [
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        "imputeMethods",
        "impute_bpca",
        "impute_fun",
        "impute_knn",
        "impute_matrix",
        "impute_min",
        "impute_MinDet",
        "impute_MinProb",
        "impute_mixed",
        "impute_mle",
        "impute_neighbour_average",
        "impute_QRILC",
        "impute_RF",
        "impute_with",
        "impute_zero"
      ]
    },
    {
      "page": "check",
      "title": "Check functions",
      "concept": [
        "helper functions for developers"
      ],
      "topics": [
        "isPeaksMatrix"
      ]
    },
    {
      "page": "localMaxima",
      "title": "Local Maxima",
      "concept": [
        "extreme value functions"
      ],
      "topics": [
        "localMaxima"
      ]
    },
    {
      "page": "maxi",
      "title": "Maximum MS Intensity Value",
      "topics": [
        "maxi"
      ]
    },
    {
      "page": "medianPolish",
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