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In Analytica release 4.4, the Smoothing option for PDF results uses KDE, and from expressions it is available via the built-in Pdf function. In C/C++, FIGTree is a library that can be used to compute kernel density estimates using normal kernels. MATLAB interface available. In C++, libagf is a library for variable kernel density estimation.
kde2d.m A Matlab function for bivariate kernel density estimation. libagf A C++ library for multivariate, variable bandwidth kernel density estimation. akde.m A Matlab m-file for multivariate, variable bandwidth kernel density estimation. helit and pyqt_fit.kde Module in the PyQt-Fit package are Python libraries for multivariate kernel density ...
In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.
In statistics, especially in Bayesian statistics, the kernel of a probability density function (pdf) or probability mass function (pmf) is the form of the pdf or pmf in which any factors that are not functions of any of the variables in the domain are omitted. [1] Note that such factors may well be functions of the parameters of the
It is a general purpose plotting software program that evolved out of a need to visualize and analyze astronomical data, but has also found subsequent use in the real time display of graphical information. Kst is a KDE application and is freely available for anyone to download and use under the terms of the GPL.
Linux (KDE) The charting tool of Calligra Suite, an integrated graphic art and office suite developed by KDE. Kig: GUI: GPL: Yes 2006: Geometry diagrams only LabPlot: GUI, Qt, C, C++: GPL-2.0-or-later: Yes 2001: July 16, 2024 / 2.11.1 Microsoft Windows, OS X, Linux, FreeBSD, Haiku: 2D plotting, suitable for creation of publication-ready plots ...
Also computer algebra system MATLAB: MathWorks: late 1970s 1984 9.12 (R2022a) 15 March 2022: $2150 (standard), $500 (education), $149 (home), $49 (student) Proprietary: Numerical computation and simulation with extended 2D/3D visualization. Emphasis on vectorised processing. Maxima: MIT Project MAC and Bill Schelter et al. 1967 1982 5.47.0 31 ...
Violin plots are similar to box plots, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator.A violin plot will include all the data that is in a box plot: a marker for the median of the data; a box or marker indicating the interquartile range; and possibly all sample points, if the number of samples is not too high.