https://github.com/lmfit/lmfit-py
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Tip revision: c78453af3c790c6368f910451d1710210fa57f93 authored by Matthew Newville on 05 April 2024, 02:32:07 UTC
update docs again for 1.3.0
Tip revision: c78453a
searchindex.js
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"examples/documentation/model_two_components", "examples/documentation/model_uncertainty", "examples/documentation/model_uncertainty2", "examples/documentation/model_uncertainty_pred", "examples/documentation/model_with_iter_callback", "examples/documentation/model_with_nan_policy", "examples/documentation/parameters_basic", "examples/documentation/parameters_valuesdict", "examples/documentation/sg_execution_times", "examples/documentation/uvars_params", "examples/example_Model_interface", "examples/example_basinhopping", "examples/example_brute", "examples/example_complex_resonator_model", "examples/example_confidence_interval", "examples/example_detect_outliers", "examples/example_diffev", "examples/example_emcee_Model_interface", "examples/example_expression_model", "examples/example_fit_multi_datasets", "examples/example_fit_with_algebraic_constraint", "examples/example_fit_with_bounds", "examples/example_fit_with_derivfunc", "examples/example_fit_with_inequality", 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"Why did my script break when upgrading from lmfit 0.8.3 to 0.9.0?": [[55, "why-did-my-script-break-when-upgrading-from-lmfit-0-8-3-to-0-9-0"]], "I get import errors from IPython": [[55, "i-get-import-errors-from-ipython"]], "How can I fit multi-dimensional data?": [[55, "how-can-i-fit-multi-dimensional-data"]], "How can I fit multiple data sets?": [[55, "how-can-i-fit-multiple-data-sets"]], "How can I fit complex data?": [[55, "how-can-i-fit-complex-data"]], "How should I cite LMFIT?": [[55, "how-should-i-cite-lmfit"]], "I get errors from NaN in my fit. What can I do?": [[55, "i-get-errors-from-nan-in-my-fit-what-can-i-do"]], "nan_policy": [[55, "nan-policy"]], "Common sources of NaN": [[55, "common-sources-of-nan"]], "Why are Parameter values sometimes stuck at initial values?": [[55, "why-are-parameter-values-sometimes-stuck-at-initial-values"]], "Why are uncertainties in Parameters sometimes not determined?": [[55, "why-are-uncertainties-in-parameters-sometimes-not-determined"]], "Can Parameters be used for Array Indices or Discrete Values?": [[55, "can-parameters-be-used-for-array-indices-or-discrete-values"]], "Performing Fits and Analyzing Outputs": [[56, "performing-fits-and-analyzing-outputs"]], "The minimize() function": [[56, "the-minimize-function"]], "Writing a Fitting Function": [[56, "writing-a-fitting-function"]], "Types of Data to Use for Fitting": [[56, "types-of-data-to-use-for-fitting"]], "Choosing Different Fitting Methods": [[56, "choosing-different-fitting-methods"]], "MinimizerResult \u2013 the optimization result": [[56, "minimizerresult-the-optimization-result"]], "Goodness-of-Fit Statistics": [[56, "goodness-of-fit-statistics"]], "Akaike and Bayesian Information Criteria": [[56, "akaike-and-bayesian-information-criteria"]], "Uncertainties in Variable Parameters, and their Correlations": [[56, "uncertainties-in-variable-parameters-and-their-correlations"]], "Getting and Printing Fit Reports": [[56, "getting-and-printing-fit-reports"]], "Using a Iteration Callback Function": [[56, "using-a-iteration-callback-function"]], "Using the Minimizer class": [[56, "using-the-minimizer-class"]], "Minimizer.emcee() - calculating the posterior probability distribution of parameters": [[56, "minimizer-emcee-calculating-the-posterior-probability-distribution-of-parameters"]], "Non-Linear Least-Squares Minimization and Curve-Fitting for Python": [[57, "non-linear-least-squares-minimization-and-curve-fitting-for-python"]], "Downloading and Installation": [[58, "downloading-and-installation"]], "Prerequisites": [[58, "prerequisites"]], "Downloads": [[58, "downloads"]], "Installation": [[58, "installation"]], "Development Version": [[58, "development-version"]], "Testing": [[58, "testing"]], "Acknowledgements": [[58, "acknowledgements"]], "Copyright, Licensing, and Re-distribution": [[58, "copyright-licensing-and-re-distribution"]], "Getting started with Non-Linear Least-Squares Fitting": [[59, "getting-started-with-non-linear-least-squares-fitting"]], "Modeling Data and Curve Fitting": [[60, "module-lmfit.model"]], "Motivation and simple example: Fit data to Gaussian profile": [[60, "motivation-and-simple-example-fit-data-to-gaussian-profile"]], "The Model class": [[60, "the-model-class"]], "Model class Methods": [[60, "model-class-methods"]], "Model class Attributes": [[60, "model-class-attributes"]], "Determining parameter names and independent variables for a function": [[60, "determining-parameter-names-and-independent-variables-for-a-function"]], "Explicitly specifying independent_vars": [[60, "explicitly-specifying-independent-vars"]], "Functions with keyword arguments": [[60, "functions-with-keyword-arguments"]], "Defining a prefix for the Parameters": [[60, "defining-a-prefix-for-the-parameters"]], "Initializing model parameter values": [[60, "initializing-model-parameter-values"]], "Initializing values in the function definition": [[60, "initializing-values-in-the-function-definition"]], "Initializing values with Model.make_params()": [[60, "initializing-values-with-model-make-params"]], "Creating a Parameters object directly": [[60, "creating-a-parameters-object-directly"]], "Initializing parameter values for a model with keyword arguments": [[60, "initializing-parameter-values-for-a-model-with-keyword-arguments"]], "Using parameter hints": [[60, "using-parameter-hints"]], "Data Types for data  and independent data with Model": [[60, "data-types-for-data-and-independent-data-with-model"]], "Saving and Loading Models": [[60, "saving-and-loading-models"]], "The ModelResult class": [[60, "the-modelresult-class"]], "ModelResult methods": [[60, "modelresult-methods"]], "ModelResult attributes": [[60, "modelresult-attributes"]], "Parameters and Variables": [[60, "parameters-and-variables"]], "Fit Arrays and Model": [[60, "fit-arrays-and-model"]], "Fit Status": [[60, "fit-status"]], "Fit Statistics": [[60, "fit-statistics"]], "Calculating uncertainties in the model function": [[60, "calculating-uncertainties-in-the-model-function"]], "Using uncertainties in the fitted parameters for post-fit calculations": [[60, "using-uncertainties-in-the-fitted-parameters-for-post-fit-calculations"]], "Saving and Loading ModelResults": [[60, "saving-and-loading-modelresults"]], "Composite Models : adding (or multiplying) Models": [[60, "composite-models-adding-or-multiplying-models"]], "Parameter and Parameters": [[61, "parameter-and-parameters"]], "The Parameter class": [[61, "the-parameter-class"]], "The Parameters class": [[61, "the-parameters-class"]], "The create_params() function": [[61, "the-create-params-function"]], "Simple Example": [[61, "simple-example"]], "Getting Help": [[63, "getting-help"]], "Release Notes": [[64, "release-notes"]], "Version 1.3.0 Release Notes (April 4, 2024)": [[64, "version-1-3-0-release-notes-april-4-2024"]], "Version 1.2.2 Release Notes (July 14, 2023)": [[64, "version-1-2-2-release-notes-july-14-2023"]], "Version 1.2.1 Release Notes (May 02, 2023)": [[64, "version-1-2-1-release-notes-may-02-2023"]], "Version 1.2.0 Release Notes (April 05, 2023)": [[64, "version-1-2-0-release-notes-april-05-2023"]], "Version 1.1.0 Release Notes (November 27, 2022)": [[64, "version-1-1-0-release-notes-november-27-2022"]], "Version 1.0.3 Release Notes (October 14, 2021)": [[64, "version-1-0-3-release-notes-october-14-2021"]], "Version 1.0.2 Release Notes (February 7, 2021)": [[64, "version-1-0-2-release-notes-february-7-2021"]], "Version 1.0.1 Release Notes": [[64, "version-1-0-1-release-notes"]], "Version 1.0.0 Release Notes": [[64, "version-1-0-0-release-notes"]], "Version 0.9.15 Release Notes": [[64, "version-0-9-15-release-notes"]], "Version 0.9.14 Release Notes": [[64, "version-0-9-14-release-notes"]], "Version 0.9.13 Release Notes": [[64, "version-0-9-13-release-notes"]], "Version 0.9.12 Release Notes": [[64, "version-0-9-12-release-notes"]], "Version 0.9.10 Release Notes": [[64, "version-0-9-10-release-notes"]], "Version 0.9.9 Release Notes": [[64, "version-0-9-9-release-notes"]], "Version 0.9.6 Release Notes": [[64, "version-0-9-6-release-notes"]], "Version 0.9.5 Release Notes": [[64, "version-0-9-5-release-notes"]], "Version 0.9.4 Release Notes": [[64, "version-0-9-4-release-notes"]], "Version 0.9.3 Release Notes": [[64, "version-0-9-3-release-notes"]], "Version 0.9.0 Release Notes": [[64, "version-0-9-0-release-notes"]], "Summary": [[64, "summary"]], "Impact": [[64, "impact"]], "Discussion": [[64, "discussion"]]}, "indexentries": {"breitwignermodel (class in lmfit.models)": [[1, "lmfit.models.BreitWignerModel"]], "constantmodel (class in lmfit.models)": [[1, "lmfit.models.ConstantModel"]], "dampedharmonicoscillatormodel (class in lmfit.models)": [[1, "lmfit.models.DampedHarmonicOscillatorModel"]], "dampedoscillatormodel (class in lmfit.models)": [[1, "lmfit.models.DampedOscillatorModel"]], "doniachmodel (class in lmfit.models)": [[1, "lmfit.models.DoniachModel"]], "exponentialgaussianmodel (class in lmfit.models)": [[1, "lmfit.models.ExponentialGaussianModel"]], "exponentialmodel (class in lmfit.models)": [[1, "lmfit.models.ExponentialModel"]], "expressionmodel (class in lmfit.models)": [[1, "lmfit.models.ExpressionModel"]], "gaussian2dmodel (class in lmfit.models)": [[1, "lmfit.models.Gaussian2dModel"]], "gaussianmodel (class in lmfit.models)": [[1, "lmfit.models.GaussianModel"]], "linearmodel (class in lmfit.models)": [[1, "lmfit.models.LinearModel"]], "lognormalmodel (class in lmfit.models)": [[1, "lmfit.models.LognormalModel"]], "lorentzianmodel (class in lmfit.models)": [[1, "lmfit.models.LorentzianModel"]], "moffatmodel (class in lmfit.models)": [[1, "lmfit.models.MoffatModel"]], "pearson4model (class in lmfit.models)": [[1, "lmfit.models.Pearson4Model"]], "pearson7model (class in lmfit.models)": [[1, "lmfit.models.Pearson7Model"]], "polynomialmodel (class in lmfit.models)": [[1, "lmfit.models.PolynomialModel"]], "powerlawmodel (class in lmfit.models)": [[1, "lmfit.models.PowerLawModel"]], "pseudovoigtmodel (class in lmfit.models)": [[1, "lmfit.models.PseudoVoigtModel"]], "quadraticmodel (class in lmfit.models)": [[1, "lmfit.models.QuadraticModel"]], "rectanglemodel (class in lmfit.models)": [[1, "lmfit.models.RectangleModel"]], "sinemodel (class in lmfit.models)": [[1, "lmfit.models.SineModel"]], "skewedgaussianmodel (class in lmfit.models)": [[1, "lmfit.models.SkewedGaussianModel"]], "skewedvoigtmodel (class in lmfit.models)": [[1, "lmfit.models.SkewedVoigtModel"]], "splinemodel (class in lmfit.models)": [[1, "lmfit.models.SplineModel"]], "splitlorentzianmodel (class in lmfit.models)": [[1, "lmfit.models.SplitLorentzianModel"]], "stepmodel (class in lmfit.models)": [[1, "lmfit.models.StepModel"]], "studentstmodel (class in lmfit.models)": [[1, "lmfit.models.StudentsTModel"]], "thermaldistributionmodel (class in lmfit.models)": [[1, "lmfit.models.ThermalDistributionModel"]], "voigtmodel (class in lmfit.models)": [[1, "lmfit.models.VoigtModel"]], "lmfit.models": [[1, "module-lmfit.models"]], "module": [[1, "module-lmfit.models"], [2, "module-lmfit.confidence"], [56, "module-lmfit.minimizer"], [60, "module-lmfit.model"], [61, "module-lmfit.parameter"]], "ci_report() (in module lmfit)": [[2, "lmfit.ci_report"]], "conf_interval() (in module lmfit)": [[2, "lmfit.conf_interval"]], "conf_interval2d() (in module lmfit)": [[2, "lmfit.conf_interval2d"]], "lmfit.confidence": [[2, "module-lmfit.confidence"]], "minimizer (class in lmfit.minimizer)": [[56, "lmfit.minimizer.Minimizer"]], "minimizerresult (class in lmfit.minimizer)": [[56, "lmfit.minimizer.MinimizerResult"]], "aborted (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.aborted"]], "aic (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.aic"]], "ampgo() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.ampgo"]], "basinhopping() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.basinhopping"]], "bic (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.bic"]], "brute() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.brute"]], "call_kws (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.call_kws"]], "chisqr (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.chisqr"]], "covar (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.covar"]], "dual_annealing() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.dual_annealing"]], "emcee() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.emcee"]], "errorbars (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.errorbars"]], "fit_report() (in module lmfit.printfuncs)": [[56, "lmfit.printfuncs.fit_report"]], "flatchain (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.flatchain"]], "ier (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.ier"]], "init_vals (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.init_vals"]], "init_values (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.init_values"]], "least_squares() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.least_squares"]], "leastsq() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.leastsq"]], "lmdif_message (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.lmdif_message"]], "lmfit.minimizer": [[56, "module-lmfit.minimizer"]], "message (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.message"]], "minimize() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.minimize"]], "minimize() (in module lmfit.minimizer)": [[56, "lmfit.minimizer.minimize"]], "ndata (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.ndata"]], "nfev (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.nfev"]], "nfree (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.nfree"]], "nvarys (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.nvarys"]], "params (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.params"]], "prepare_fit() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.prepare_fit"]], "redchi (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.redchi"]], "residual (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.residual"]], "scalar_minimize() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.scalar_minimize"]], "shgo() (minimizer method)": [[56, "lmfit.minimizer.Minimizer.shgo"]], "show_candidates() (minimizerresult method)": [[56, "lmfit.minimizer.MinimizerResult.show_candidates"]], "status (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.status"]], "success (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.success"]], "uvars (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.uvars"]], "var_names (minimizerresult attribute)": [[56, "lmfit.minimizer.MinimizerResult.var_names"]], "composite models": [[60, "index-0"]], "compositemodel (class in lmfit.model)": [[60, "lmfit.model.CompositeModel"]], "model (class in lmfit.model)": [[60, "lmfit.model.Model"]], "modelresult (class in lmfit.model)": [[60, "lmfit.model.ModelResult"]], "aborted (in module lmfit.model)": [[60, "lmfit.model.aborted"]], "aic (in module lmfit.model)": [[60, "lmfit.model.aic"]], "best_fit (in module lmfit.model)": [[60, "lmfit.model.best_fit"]], "best_values (in module lmfit.model)": [[60, "lmfit.model.best_values"]], "bic (in module lmfit.model)": [[60, "lmfit.model.bic"]], "call_kws (in module lmfit.model)": [[60, "lmfit.model.call_kws"]], "chisqr (in module lmfit.model)": [[60, "lmfit.model.chisqr"]], "ci_out (in module lmfit.model)": [[60, "lmfit.model.ci_out"]], "ci_report() (modelresult method)": [[60, "lmfit.model.ModelResult.ci_report"]], "components (in module lmfit.model)": [[60, "lmfit.model.components"]], "conf_interval() (modelresult method)": [[60, "lmfit.model.ModelResult.conf_interval"]], "covar (in module lmfit.model)": [[60, "lmfit.model.covar"]], "data (in module lmfit.model)": [[60, "lmfit.model.data"]], "dely (in module lmfit.model)": [[60, "lmfit.model.dely"]], "dely_comps (in module lmfit.model)": [[60, "lmfit.model.dely_comps"]], "dely_predicted (in module lmfit.model)": [[60, "lmfit.model.dely_predicted"]], "errorbars (in module lmfit.model)": [[60, "lmfit.model.errorbars"]], "eval() (model method)": [[60, "lmfit.model.Model.eval"]], "eval() 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in lmfit.parameter)": [[61, "lmfit.parameter.Parameters"]], "removing a constraint expression": [[61, "index-0"]], "add() (parameters method)": [[61, "lmfit.parameter.Parameters.add"]], "add_many() (parameters method)": [[61, "lmfit.parameter.Parameters.add_many"]], "correl (parameter attribute)": [[61, "lmfit.parameter.Parameter.correl"]], "create_params() (in module lmfit.parameter)": [[61, "lmfit.parameter.create_params"]], "create_uvars() (parameters method)": [[61, "lmfit.parameter.Parameters.create_uvars"]], "dump() (parameters method)": [[61, "lmfit.parameter.Parameters.dump"]], "dumps() (parameters method)": [[61, "lmfit.parameter.Parameters.dumps"]], "eval() (parameters method)": [[61, "lmfit.parameter.Parameters.eval"]], "lmfit.parameter": [[61, "module-lmfit.parameter"]], "load() (parameters method)": [[61, "lmfit.parameter.Parameters.load"]], "loads() (parameters method)": [[61, "lmfit.parameter.Parameters.loads"]], "pretty_print() (parameters method)": [[61, "lmfit.parameter.Parameters.pretty_print"]], "set() (parameter method)": [[61, "lmfit.parameter.Parameter.set"]], "stderr (parameter attribute)": [[61, "lmfit.parameter.Parameter.stderr"]], "valuesdict() (parameters method)": [[61, "lmfit.parameter.Parameters.valuesdict"]]}})
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