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In general, Pearson correlation coefficients can be quite error-prone to outliers, thus Jackknifing may be helpful. I could not find any useful implementation for calculating more than leave-1-out Jackknife Pearson correlation coefficients. 'leave-kojack' offers an implementation for Jackknife Pearson correlation with dynamic values of k, i.e. leave-k-out Pearson correlation.
Complex error functions, Dawson, Faddeeva, and Voigt function
A self-contained C library providing complex error functions, based on Faddeeva's plasma dispersion function w(z). Also provides Dawson's integral and Voigt's convolution of a Gaussian and a Lorentzian.
Tcl binding to levmar library implementing Levenberg-Marquardt optimization algorithm often used in data fitting. Levmartcl is a standard Tcl extension providing command interface to levmar functionality. This library is only a wrapper of <levmar> which actually performs the work. See the <levmar> home site for details: http://www.ics.forth.gr/~lourakis/levmar/
MESH is a tool that measures distortion between two discrete surfaces (triangular meshes) using the Hausdorff distance to compute a maximum, mean and root-mean-square errors between two given surfaces. It also displays the error values on the surface.