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  "Description": "Several nonparametric estimators of autocovariance\nfunctions. Procedures for constructing their confidence regions\nby using bootstrap techniques. Methods to correct\nautocovariance estimators and several tools for analysing and\ncomparing them. Supplementary functions, including kernel\ncomputations and discrete cosine Fourier transforms. For more\ndetails see Bilchouris and Olenko (2025)\n<doi:10.17713/ajs.v54i1.1975>.",
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    "truncated_est",
    "window",
    "window_ec",
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    "window_symm_ec"
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      "title": "Compute the Kernel Regression Estimator.",
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      "title": "Compute Adjusted Splines.",
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      "title": "Area Between Estimated Autocovariance Functions.",
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        "area_between.CovEsts",
        "area_between.default"
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      "title": "as.double Method for CovEsts Objects",
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      "title": "Block Bootstrap Sample",
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      ]
    },
    {
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      "title": "Check if an Autocovariance Function Estimate is Positive-Definite or Not.",
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        "check_pd.CovEsts",
        "check_pd.default"
      ]
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      ]
    },
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      ]
    },
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      ]
    },
    {
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      "title": "Generate Spline Knots.",
      "topics": [
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      ]
    },
    {
      "page": "get_taus",
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      "topics": [
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      ]
    },
    {
      "page": "H2n",
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      ]
    },
    {
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        "hilbert_schmidt.CovEsts",
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      ]
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      ]
    },
    {
      "page": "kernel_ec",
      "title": "1D Isotropic Kernels.",
      "topics": [
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      ]
    },
    {
      "page": "kernel_est",
      "title": "Kernel Correction for an Estimated Autocovariance Function.",
      "topics": [
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        "kernel_est.CovEsts",
        "kernel_est.default"
      ]
    },
    {
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      "title": "1D Isotropic Symmetric Kernels.",
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      ]
    },
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      ]
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      "title": "Lines Method for CovEsts Objects",
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      "title": "Lines Method for VarioEsts Objects",
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      ]
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      "title": "Make a Function Positive-Definite",
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        "make_pd.CovEsts",
        "make_pd.default"
      ]
    },
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      "topics": [
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        "max_distance.CovEsts",
        "max_distance.default"
      ]
    },
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        "mse.CovEsts",
        "mse.default"
      ]
    },
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      "title": "Compute the Nearest Positive-Definite Matrix.",
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        "nearest_pd.CovEsts",
        "nearest_pd.default"
      ]
    },
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        "normalise_acf.CovEsts",
        "normalise_acf.default"
      ]
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      "title": "Plot Method for BootEsts Objects",
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      "title": "Plot Method for CovEsts Objects",
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      "title": "Print Method for CovEsts Objects",
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      "title": "Print Method for VarioEsts Objects",
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      "title": "Compute rho(T_{1}) used in the Truncated Kernel Regression Estimator.",
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      "title": "Linear Shrinking",
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      "title": "Solve Linear Shrinking",
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      "title": "Objective Function for WLS.",
      "topics": [
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      ]
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    },
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      "title": "Construct Data Frame of Basis Functions.",
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      "title": "Compute the Splines Estimator.",
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    },
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      "title": "Random Block Locations",
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    },
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      "page": "tapered_est",
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      "page": "to_pacf",
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      "commit": "3428c0a47e3444cfd33197fe6dafead9873c5eb3",
      "fileid": "c32432c9c747acb5e8f1edc12f644b8d27aa2cb8aec010bad39ee363731b7e84",
      "status": "success",
      "buildurl": "https://github.com/r-universe/adambilchouris/actions/runs/26089828686"
    }
  ]
}