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  "Title": "Perform Nonlinear Regression Using 'optim' as the Optimization\nEngine",
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  "Description": "A wrapper for 'optim' for nonlinear regression problems;\nsee Nocedal J and Write S (2006, ISBN: 978-0387-30303-1).\nPerforms ordinary least squares (OLS), iterative re-weighted\nleast squares (IRWLS), and maximum likelihood (MLE). Also\nincludes the robust outlier detection (ROUT) algorithm; see\nMotulsky, H and Brown, R (2006) <doi:10.1186/1471-2105-7-123>.",
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    },
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    },
    {
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      "title": "Three-parameter exponential decay, gradient, starting values, and back-calculation functions",
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    },
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      "title": "Compute derivative with respect to parameters",
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    },
    {
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      "title": "Compute standard error for a function of model parameter estimates",
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      ]
    },
    {
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      "title": "Extract data object from an optim fit",
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        "getData.optim.fit"
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    },
    {
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      "title": "Four-parameter Gompertz model, gradient, starting values, and back-calculation functions",
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      "topics": [
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      ]
    },
    {
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      "title": "Five-parameter Hill model with quadratic component, gradient, starting values, and back-calculation functions",
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      ]
    },
    {
      "page": "hill_switchpoint_model",
      "title": "Five-parameter Hill model with switch point component, gradient, starting values, and back-calculation functions",
      "topics": [
        "hill_switchpoint_model"
      ]
    },
    {
      "page": "hill5_model",
      "title": "Five-parameter Hill model, gradient, starting values, and back-calculation functions",
      "topics": [
        "hill5_model"
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    },
    {
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      "title": "Linear model, gradient, and starting values",
      "topics": [
        "linear_model"
      ]
    },
    {
      "page": "nlogLik_cauchy",
      "title": "Negative log-likelihood function for Cauchy regression",
      "topics": [
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      ]
    },
    {
      "page": "optim_fit",
      "title": "Fit Model with optim",
      "topics": [
        "optim_fit",
        "robust_fit"
      ]
    },
    {
      "page": "optim_weights",
      "title": "Weight functions for optim_fit",
      "topics": [
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      "title": "Prints optim_fit objects",
      "topics": [
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      ]
    },
    {
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      "filename": "OptimModel_vignette.html",
      "title": "OptimModel Vignette",
      "author": "Steven Novick",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Pre-specified models",
        "Mean-model functions",
        "Exponential decay (first order)",
        "Exponential decay (first order) with plateau",
        "Exponential decay (second order)",
        "Gompertz model",
        "Four-parameter Hill (4PL) model",
        "Five-parameter Hill model",
        "Hill quadratic model",
        "Hill switchpoint model",
        "Beta model",
        "User defined mean model",
        "Weight/Variance functions",
        "Tukey bi-weight",
        "Huber weights",
        "User-defined weights",
        "Calling optim_fit",
        "OLS and WLS",
        "MLE",
        "IRWLS",
        "Robust model fit",
        "Multiple starting values",
        "User-defined model",
        "Functions of parameters",
        "Detecting outliers with ROUT",
        "Summary",
        "References"
      ],
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      "modified": "2025-05-04 23:30:11",
      "commits": 2
    }
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