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### Motivation
Functions for low-order polynomial fitting using (weighted) least squares regression are common in many scientific libraries.
Here's an interface for the non-weighted case, inspi…
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In the dev version of scipy.optimize, [least_squares](http://scipy.github.io/devdocs/generated/scipy.optimize.least_squares.html) allows for outlier-resistant nonlinear least-squares regression throug…
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Fitting with parameter values far from unity can be improved by passing characteristic parameter scales to `curve_fit` using the optional the `x_scale` keyword argument.
This argument is documneted u…
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There are some very frustrating errors in the already merged code and I'm not sure how to fully test my code without rewriting most of the existing codebase
jkblc updated
1 month ago
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No distribution factory can set a parameter and estimate the others. For example, LogNormalFactory cannot build with given gamma. I have a sample and I want to fit a `LogNormal` distribution using met…
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Dunstan et al in [Easy computation of the Bayes factor to fully quantify Occam’s razor in least-squares fitting and to guide actions](https://www.nature.com/articles/s41598-021-04694-7) present "an ea…
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Hi all,
I am really interesting in using your R package to deconvulte some of my bulk RNA-seq data. I was just trying to use the example data which is loaded with the package but I have already encou…
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If enough squares overlap in one area, they can cover both lines and residuals, and grid lines. The screenshots are a more extreme case with many dots, but the opacity starts to increase quickly just …
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Commit https://github.com/JuliaGNSS/PositionVelocityTime.jl/commit/93d7a529e8253ab7e10e14834ff24f2eaa5e285b added support for RAIM by checking the RMSE of the solution, and the previous commits allows…
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Looking for someone to:
1) verify that Twinkly Squares work with the current codebase
2) add at least one example to the doc demonstrating their use