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<h1 id="index">Index</h1>

<div class="genindex-jumpbox">
 <a href="#B"><strong>B</strong></a>
 | <a href="#C"><strong>C</strong></a>
 | <a href="#D"><strong>D</strong></a>
 | <a href="#E"><strong>E</strong></a>
 | <a href="#F"><strong>F</strong></a>
 | <a href="#J"><strong>J</strong></a>
 | <a href="#L"><strong>L</strong></a>
 | <a href="#M"><strong>M</strong></a>
 | <a href="#N"><strong>N</strong></a>
 | <a href="#P"><strong>P</strong></a>
 | <a href="#Q"><strong>Q</strong></a>
 | <a href="#R"><strong>R</strong></a>
 | <a href="#S"><strong>S</strong></a>
 | <a href="#T"><strong>T</strong></a>
 | <a href="#W"><strong>W</strong></a>
 | <a href="#X"><strong>X</strong></a>
 | <a href="#Y"><strong>Y</strong></a>
 
</div>
<h2 id="B">B</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.bootstrapped_fit_iter">bootstrapped_fit_iter() (lsqfit.nonlinear_fit method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitterModel.builddata">builddata() (lsqfit.MultiFitterModel method)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.MultiFitterModel.builddataset">builddataset() (lsqfit.MultiFitterModel method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitterModel.buildprior">buildprior() (lsqfit.MultiFitterModel method)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="C">C</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.MultiFitter.chained_lsqfit">chained_lsqfit() (lsqfit.MultiFitter method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.check_roundoff">check_roundoff() (lsqfit.nonlinear_fit method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.chi2">chi2 (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.correction">correction (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.cov">cov (lsqfit.nonlinear_fit attribute)</a>

      <ul>
        <li><a href="scipy.html#lsqfit.scipy_least_squares.cov">(lsqfit.scipy_least_squares attribute)</a>
</li>
      </ul></li>
  </ul></td>
</tr></table>

<h2 id="D">D</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.MultiFitterModel.datatag">datatag (lsqfit.MultiFitterModel attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.dchi2">dchi2() (lsqfit.nonlinear_fit method)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="scipy.html#lsqfit.scipy_least_squares.description">description (lsqfit.scipy_least_squares attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.dof">dof (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="E">E</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.empbayes_fit">empbayes_fit() (in module lsqfit)</a>

      <ul>
        <li><a href="lsqfit.html#lsqfit.MultiFitter.empbayes_fit">(lsqfit.MultiFitter method)</a>
</li>
      </ul></li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.error">error (lsqfit.nonlinear_fit attribute)</a>

      <ul>
        <li><a href="scipy.html#lsqfit.scipy_least_squares.error">(lsqfit.scipy_least_squares attribute)</a>
</li>
        <li><a href="scipy.html#lsqfit.scipy_multiminex.error">(lsqfit.scipy_multiminex attribute)</a>
</li>
      </ul></li>
  </ul></td>
</tr></table>

<h2 id="F">F</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="scipy.html#lsqfit.scipy_least_squares.f">f (lsqfit.scipy_least_squares attribute)</a>

      <ul>
        <li><a href="scipy.html#lsqfit.scipy_multiminex.f">(lsqfit.scipy_multiminex attribute)</a>
</li>
      </ul></li>
      <li><a href="lsqfit.html#lsqfit.MultiFitterModel.fitfcn">fitfcn() (lsqfit.MultiFitterModel method)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.fitter_results">fitter_results (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitter.flatten_models">flatten_models() (lsqfit.MultiFitter static method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.format">format() (lsqfit.nonlinear_fit method)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="J">J</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="scipy.html#lsqfit.scipy_least_squares.J">J (lsqfit.scipy_least_squares attribute)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="L">L</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.logGBF">logGBF (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li>
    lsqfit

      <ul>
        <li><a href="lsqfit.html#module-lsqfit">module</a>
</li>
      </ul></li>
      <li><a href="lsqfit.html#lsqfit.MultiFitter.lsqfit">lsqfit() (lsqfit.MultiFitter method)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.lsqfit.gammaQ">lsqfit.gammaQ() (in module lsqfit)</a>
</li>
      <li><a href="gsl.html#lsqfit.gsl_multifit">lsqfit.gsl_multifit (built-in class)</a>
</li>
      <li><a href="gsl.html#lsqfit.gsl_multiminex">lsqfit.gsl_multiminex (built-in class)</a>
</li>
      <li><a href="gsl.html#lsqfit.gsl_v1_multifit">lsqfit.gsl_v1_multifit (built-in class)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="M">M</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li>
    module

      <ul>
        <li><a href="lsqfit.html#module-lsqfit">lsqfit</a>
</li>
      </ul></li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.MultiFitter">MultiFitter (class in lsqfit)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitterModel">MultiFitterModel (class in lsqfit)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="N">N</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.nblocks">nblocks (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitterModel.ncg">ncg (lsqfit.MultiFitterModel attribute)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="scipy.html#lsqfit.scipy_least_squares.nit">nit (lsqfit.scipy_least_squares attribute)</a>

      <ul>
        <li><a href="scipy.html#lsqfit.scipy_multiminex.nit">(lsqfit.scipy_multiminex attribute)</a>
</li>
      </ul></li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit">nonlinear_fit (class in lsqfit)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="P">P</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.p">p (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.p0">p0 (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.palt">palt (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.pdf">pdf() (lsqfit.nonlinear_fit method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.plot_residuals">plot_residuals() (lsqfit.nonlinear_fit method)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.pmean">pmean (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.prior">prior (lsqfit.nonlinear_fit attribute)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitter.process_data">process_data() (lsqfit.MultiFitter static method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitter.process_dataset">process_dataset() (lsqfit.MultiFitter static method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.psdev">psdev (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="Q">Q</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.Q">Q (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.qqplot_residuals">qqplot_residuals() (lsqfit.nonlinear_fit method)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="R">R</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.residuals">residuals (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="scipy.html#lsqfit.scipy_least_squares.results">results (lsqfit.scipy_least_squares attribute)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="S">S</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="scipy.html#lsqfit.scipy_least_squares">scipy_least_squares (class in lsqfit)</a>
</li>
      <li><a href="scipy.html#lsqfit.scipy_multiminex">scipy_multiminex (class in lsqfit)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.MultiFitter.set">set() (lsqfit.MultiFitter method)</a>

      <ul>
        <li><a href="lsqfit.html#lsqfit.nonlinear_fit.set">(lsqfit.nonlinear_fit static method)</a>
</li>
      </ul></li>
      <li><a href="lsqfit.html#lsqfit.MultiFitter.show_plots">show_plots() (lsqfit.MultiFitter static method)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.simulated_data_iter">simulated_data_iter() (lsqfit.nonlinear_fit method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.simulated_fit_iter">simulated_fit_iter() (lsqfit.nonlinear_fit method)</a>
</li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.stopping_criterion">stopping_criterion (lsqfit.nonlinear_fit attribute)</a>

      <ul>
        <li><a href="scipy.html#lsqfit.scipy_least_squares.stopping_criterion">(lsqfit.scipy_least_squares attribute)</a>
</li>
      </ul></li>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.svdn">svdn (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="T">T</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.time">time (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.tol">tol (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="W">W</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.wavg">wavg() (in module lsqfit)</a>
</li>
  </ul></td>
</tr></table>

<h2 id="X">X</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.x">x (lsqfit.nonlinear_fit attribute)</a>

      <ul>
        <li><a href="scipy.html#lsqfit.scipy_least_squares.x">(lsqfit.scipy_least_squares attribute)</a>
</li>
        <li><a href="scipy.html#lsqfit.scipy_multiminex.x">(lsqfit.scipy_multiminex attribute)</a>
</li>
      </ul></li>
  </ul></td>
</tr></table>

<h2 id="Y">Y</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
  <td style="width: 33%; vertical-align: top;"><ul>
      <li><a href="lsqfit.html#lsqfit.nonlinear_fit.y">y (lsqfit.nonlinear_fit attribute)</a>
</li>
  </ul></td>
</tr></table>



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