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  "Title": "Isolate-Detect Method for Multiple Change-Point Detection",
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  "Description": "The IDetect provides efficient implementation of the ID\nmethodology for the consistent estimation of the number and\nlocation of multiple change-points in one-dimensional data\nsequences from the `deterministic + noise' model. Currently\nimplemented scenarios are: piecewise-constant signal,\npiecewise-constant signal with a heavy-tailed noise, continuous\npiecewise-linear signal, continuous piecewise-linear signal\nwith a heavy-tailed noise.",
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    "User": "root"
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  "Author": "Andreas Anastasiou [aut, cre], Piotr Fryzlewicz [aut]",
  "Maintainer": "Andreas Anastasiou <anastasiou.andreas@ucy.ac.cy>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-05-07 15:07:48 UTC",
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    "extra/citation.json",
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    "ID_pcm",
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    "pcm_th",
    "plm_th",
    "resid",
    "s_e_points",
    "sol_path_pcm",
    "sol_path_plm",
    "wind_pcm_th",
    "wind_plm_th"
  ],
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    {
      "page": "IDetect-package",
      "title": "IDetect: Multiple generalised change-point detection using the Isolate-Detect methodology",
      "topics": [
        "IDetect-package",
        "IDetect"
      ]
    },
    {
      "page": "cpt_ic_pcm",
      "title": "Multiple change-point detection in the mean via minimising an information criterion",
      "topics": [
        "cpt_ic_pcm"
      ]
    },
    {
      "page": "cpt_ic_plm",
      "title": "Multiple change-point detection in the slope of a continuous piecewise-linear mean signal via minimising an information criterion",
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        "cpt_ic_plm"
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    },
    {
      "page": "cumsum_lin",
      "title": "Calculate the contrast function that is used in continuous piecewise-linear mean signals",
      "topics": [
        "cumsum_lin"
      ]
    },
    {
      "page": "cusum_function",
      "title": "Calculate the CUMSUM statistic",
      "topics": [
        "cusum_function"
      ]
    },
    {
      "page": "cusum_one",
      "title": "Calculate the CUMSUM statistic at specific values",
      "topics": [
        "cusum_one"
      ]
    },
    {
      "page": "est_signal",
      "title": "Estimate the signal",
      "topics": [
        "est_signal"
      ]
    },
    {
      "page": "ht_ID_pcm",
      "title": "Apply the Isolate-Detect methodology for multiple change-point detection in the mean of a vector with non Gaussian noise",
      "topics": [
        "ht_ID_pcm"
      ]
    },
    {
      "page": "ht_ID_plm",
      "title": "Apply the Isolate-Detect methodology for multiple change-point detection in the slope of a vector with non Gaussian noise",
      "topics": [
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      ]
    },
    {
      "page": "ID",
      "title": "Multiple change-point detection in the mean or the slope of a vector using the Isolate-Detect methodology",
      "topics": [
        "ID"
      ]
    },
    {
      "page": "ID_pcm",
      "title": "Multiple change-point detection in the mean of a vector using the Isolate-Detect method",
      "topics": [
        "ID_pcm"
      ]
    },
    {
      "page": "ID_plm",
      "title": "Multiple change-point detection in the slope of a vector using the Isolate-Detect method",
      "topics": [
        "ID_plm"
      ]
    },
    {
      "page": "linear_contr_one",
      "title": "Calculate the contrast function for the continuous piecewise-linear mean case at specific values",
      "topics": [
        "linear_contr_one"
      ]
    },
    {
      "page": "log_lik_slope",
      "title": "Calculate the log-likelihood in the case of a continuous piecewise-linear mean signal",
      "topics": [
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      ]
    },
    {
      "page": "normalise",
      "title": "Transform the noise to be closer to the Gaussian distribution",
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        "normalise"
      ]
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      "page": "pcm_th",
      "title": "Multiple change-point detection in the mean via thresholding",
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        "pcm_th"
      ]
    },
    {
      "page": "plm_th",
      "title": "Multiple change-point detection in the slope of a piecewise-linear mean signal via thresholding",
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    },
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      "page": "resid",
      "title": "Calculate the residuals related to the estimated signal",
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      ]
    },
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      "title": "Derives a subset of integers from a given set",
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      "title": "Schwarz Information Criterion penalty",
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    },
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      "page": "ssic_pen",
      "title": "Strengthened Schwarz Information Criterion penalty",
      "topics": [
        "ssic_pen"
      ]
    },
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      "page": "wind_pcm_th",
      "title": "A window-based approach for multiple change-point detection in the mean via thresholding",
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      ]
    },
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      "page": "wind_plm_th",
      "title": "A window-based approach for multiple change-point detection in the slope of a picewise-linear mean signal via thresholding",
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        "wind_plm_th"
      ]
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