Minor bug fix for fit residuals. New diagnostic tools for examining fit residuals: eg, fit.qqplot_residuals().show() displays a Q-Q plot of the normalized residuals to check that they have a Gaussian distribution
<p>Residual plot describing the goodness-of-fit determination for the severe case proportion to the ...
Removes lsqfit.BayesIntegrator (and BayesPDF) which is replaced by the more capable vegas.PDFIntegra...
<p>Normal Q-Q plot of residuals of of GLS when the variance function of the error term is .</p
Removes the extend parameter from lsqfit.nonlinear_fit. That parameter is no longer necessary: the a...
Adds a new keyword linear to lsqfit.nonlinear_fit(...) that lists (optionally) which fit parameters ...
Adds new keywords add_svdnoise and add_priornoise to help assess fit quality; see new sections on Go...
Minor update: Setting p0=True causes nonlinear_fit() to choose the fit search's starting point at ra...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
Bug fix in lsqfit.wavg(...) for problem that was having an adverse effect on certain of lsqfit.Multi...
This provides: a minor bug fix in lsqfit.MultiFitter.chained_fit concerning fit.svdcorrection; and a...
This version offers a major overhaul of the underlying fitting strategies used by lsqfit, featuring ...
<p>Residual plot, QQ-plot of residuals, the autocorrelation function (ACF) and the partial autocorre...
Fixes a bug in empbayes_fit(z0, ...) that occurred when z0 was an integer or contained integers. Als...
<p>The two plots show that the residuals seem to be symmetrically distributed around 0 and in genera...
Introduces improved pickling which means that multiple processors (nproc>1) can be used when doing B...
<p>Residual plot describing the goodness-of-fit determination for the severe case proportion to the ...
Removes lsqfit.BayesIntegrator (and BayesPDF) which is replaced by the more capable vegas.PDFIntegra...
<p>Normal Q-Q plot of residuals of of GLS when the variance function of the error term is .</p
Removes the extend parameter from lsqfit.nonlinear_fit. That parameter is no longer necessary: the a...
Adds a new keyword linear to lsqfit.nonlinear_fit(...) that lists (optionally) which fit parameters ...
Adds new keywords add_svdnoise and add_priornoise to help assess fit quality; see new sections on Go...
Minor update: Setting p0=True causes nonlinear_fit() to choose the fit search's starting point at ra...
Residuals of fitting models: Comparison using Q-Q plots (left) and real vs. residual (right) for dif...
Bug fix in lsqfit.wavg(...) for problem that was having an adverse effect on certain of lsqfit.Multi...
This provides: a minor bug fix in lsqfit.MultiFitter.chained_fit concerning fit.svdcorrection; and a...
This version offers a major overhaul of the underlying fitting strategies used by lsqfit, featuring ...
<p>Residual plot, QQ-plot of residuals, the autocorrelation function (ACF) and the partial autocorre...
Fixes a bug in empbayes_fit(z0, ...) that occurred when z0 was an integer or contained integers. Als...
<p>The two plots show that the residuals seem to be symmetrically distributed around 0 and in genera...
Introduces improved pickling which means that multiple processors (nproc>1) can be used when doing B...
<p>Residual plot describing the goodness-of-fit determination for the severe case proportion to the ...
Removes lsqfit.BayesIntegrator (and BayesPDF) which is replaced by the more capable vegas.PDFIntegra...
<p>Normal Q-Q plot of residuals of of GLS when the variance function of the error term is .</p
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