Multivariate Probability Density Estimation

Nonparametric plotting and analysis tool to compute a probability density estimate for multivariate data

https://github.com/jennyfarmer/PDFAnalyze

Version 3.0 (73.8 KB)
240 Downloads
(1)
17 Oct 2022

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EstimatePDF computes a nonparametric probability density estimate for a one-dimensional data sample. The method is automated and adaptive, determining boundaries, resolution scales, and outliers appropriately without user intervention, therefore suitable for high-throughput analysis.
PDFAnalyze optionally produces high-quality plots for advanced analysis and publication with univariate estimates.
EstimatePDFmv calculates nonparametric probability density estimates for multivariate data for up to 5 variables.

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Cite As

jenny farmer (2026). Multivariate Probability Density Estimation (https://github.com/jennyfarmer/PDFAnalyze), GitHub. Retrieved .

Jenny, F. and J. Donald, High throughput nonparametric probability density estimation. PLoS ONE, 2018. 13(5): p. e0196937.

Farmer, Jenny, and Donald J. Jacobs. “MATLAB Tool for Probability Density Assessment and Nonparametric Estimation.” SoftwareX, vol. 18, Elsevier BV, June 2022, p. 101017, doi:10.1016/j.softx.2022.101017.

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Find more on Probability Density Functions in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • Compatible with R2018a and later releases

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
3.0

Extended to provide multivariate support for up to 5 variables
2.1

Enhanced help files
1.0.1

More descriptive title and summary
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.