{
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  "Package": "assist",
  "Title": "A Suite of R Functions Implementing Spline Smoothing Techniques",
  "Version": "3.1.9",
  "Authors@R": "c(\nperson(\"Yuedong\", \"Wang\", email = \"yuedong@ucsb.edu\", role = c(\"aut\",\"cre\")),\nperson(\"Chunlei\", \"Ke\", email = \"chunlei_ke@yahoo.com\", role = c(\"aut\")),\nperson(\"Cleve\", \"Moler\", role = c(\"cph\")))",
  "Description": "Fit various smoothing spline models. Includes an ssr()\nfunction for smoothing spline regression, an nnr() function for\nnonparametric nonlinear regression, an snr() function for\nsemiparametric nonlinear regression, an slm() function for\nsemiparametric linear mixed-effects models, and an snm()\nfunction for semiparametric nonlinear mixed-effects models. See\nWang (2011) <doi:10.1201/b10954> for an overview.",
  "License": "GPL-2",
  "LazyData": "true",
  "URL": "https://yuedong.faculty.pstat.ucsb.edu/software.html",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-31 08:48:57 UTC",
    "User": "root"
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  "Author": "Yuedong Wang [aut, cre], Chunlei Ke [aut], Cleve Moler [cph]",
  "Maintainer": "Yuedong Wang <yuedong@ucsb.edu>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-08-22 07:30:44 UTC",
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    "ident",
    "inc",
    "kron",
    "linear",
    "linear2",
    "lspline",
    "nnr",
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    "periodic",
    "quintic",
    "quintic2",
    "rk.prod",
    "septic",
    "septic2",
    "shrink0",
    "shrink1",
    "sine4p",
    "slm",
    "snm",
    "snm.control",
    "snr",
    "snr.control",
    "sphere",
    "ssr",
    "ssr.control",
    "tp",
    "tp.linear",
    "tp.pseudo",
    "xyplot2"
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      "title": "Lake Acidity Study",
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    },
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      "page": "alogit",
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      "title": "Winter Average Temperatures",
      "topics": [
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      "title": "Interface to Fortran Subroutine dcrdr",
      "topics": [
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      "title": "Model Deviance",
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      "page": "hat.ssr",
      "title": "Extract the Hat Matrix from a ssr Object",
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    {
      "page": "horm.cort",
      "title": "Hormone Measurements of Cortisol",
      "topics": [
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      "page": "inc",
      "title": "Fit a Monotone Curve Using a Cubic Spline",
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    {
      "page": "intervals.nnr",
      "title": "Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimates From a nnr Object",
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      "title": "Calculate Predictions and Posterior Standard Deviations of Spline Estimates From a slm Object",
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      "title": "Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimate From a snm Object",
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    {
      "page": "intervals.snr",
      "title": "Calculate Predictions and Approximate Posterior Standard Deviations for Spline Estimates From a snr Object",
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        "intervals.snr"
      ]
    },
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      "page": "kron",
      "title": "Calculate reproducing kernels for one-dimensional space",
      "topics": [
        "kron"
      ]
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      "page": "lspline",
      "title": "Calculate Reproducing Kernels for Some L-splines",
      "topics": [
        "lspline"
      ]
    },
    {
      "page": "nnr",
      "title": "Nonlinear Non-parametric Regression",
      "topics": [
        "nnr"
      ]
    },
    {
      "page": "nnr.control",
      "title": "Set Control Parameters for nnr",
      "topics": [
        "nnr.control"
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    },
    {
      "page": "paramecium",
      "title": "Growth of paramecium caudatum population",
      "topics": [
        "paramecium"
      ]
    },
    {
      "page": "periodic",
      "title": "Calculate Reproducing Kernels for Periodic Polynomial Splines with Period 1",
      "topics": [
        "periodic"
      ]
    },
    {
      "page": "plot.bCI",
      "title": "Bayesian Confidence Interval Plot of a Smoothing Spline Fit",
      "topics": [
        "plot.bCI"
      ]
    },
    {
      "page": "plot.ssr",
      "title": "Generate Diagnostic Plots for a ssr Object",
      "topics": [
        "plot.ssr"
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    },
    {
      "page": "Polynomial",
      "title": "Calculate Reproducing Kernels for Polynomial Splines on [0, 1]",
      "topics": [
        "cubic",
        "linear",
        "quintic",
        "septic"
      ]
    },
    {
      "page": "Polynomial2",
      "title": "Calculate Reproducing Kernels for Polynomial Splines on [0, T]",
      "topics": [
        "cubic2",
        "linear2",
        "quintic2",
        "septic2"
      ]
    },
    {
      "page": "predict.slm",
      "title": "Predict Method for Semiparametric Linear Mixed Effects Model Fits",
      "topics": [
        "predict.slm"
      ]
    },
    {
      "page": "predict.snm",
      "title": "Predictions from a Semiparametric Nonlinear Mixed Effects Model Fit",
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        "predict.snm"
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    {
      "page": "predict.snr",
      "title": "Predict Method from a Semiparametric Nonlinear Regression Model Fit",
      "topics": [
        "predict.snr"
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    },
    {
      "page": "predict.ssr",
      "title": "Calculate Predictions and Posterior Standard Deviations for a ssr Object",
      "topics": [
        "predict.ssr"
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    },
    {
      "page": "print.anova.ssr",
      "title": "Print an anova.ssr Object",
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      "page": "print.nnr",
      "title": "Print Values",
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      "page": "print.slm",
      "title": "Print Values",
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    {
      "page": "print.snm",
      "title": "Print Values",
      "topics": [
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    },
    {
      "page": "print.snr",
      "title": "Print Values",
      "topics": [
        "print.snr"
      ]
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    {
      "page": "print.ssr",
      "title": "Print Values",
      "topics": [
        "print.ssr"
      ]
    },
    {
      "page": "print.summary.nnr",
      "title": "Print Vales",
      "topics": [
        "print.summary.nnr"
      ]
    },
    {
      "page": "print.summary.slm",
      "title": "Print Values",
      "topics": [
        "print.summary.slm"
      ]
    },
    {
      "page": "print.summary.snm",
      "title": "Print Values",
      "topics": [
        "print.summary.snm"
      ]
    },
    {
      "page": "print.summary.snr",
      "title": "Print Values",
      "topics": [
        "print.summary.snr"
      ]
    },
    {
      "page": "print.summary.ssr",
      "title": "Print Values",
      "topics": [
        "print.summary.ssr"
      ]
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      "page": "rk.prod",
      "title": "Calculate product of reproducing kernels",
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      "page": "seizure",
      "title": "IEEG segments from a seizure patient",
      "topics": [
        "seizure"
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    },
    {
      "page": "Shrinkage",
      "title": "Calculate reproducing kernels for Stein shrinkage estimate",
      "topics": [
        "shrink0",
        "shrink1"
      ]
    },
    {
      "page": "sine4p",
      "title": "Calculate Reproducing Kernels for Periodic L-Splines with Period 1/2",
      "topics": [
        "sine4p"
      ]
    },
    {
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