Multivariate Probability Density Estimation

Version 3.0 (73.8 KB) by jenny farmer

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

https://github.com/jennyfarmer/PDFAnalyze

5.0

(1)

207 Downloads

Updated 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.

Cite As

jenny farmer (2024). Multivariate Probability Density Estimation (https://github.com/jennyfarmer/PDFAnalyze), GitHub. Retrieved April 24, 2024.

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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MATLAB Release Compatibility

Created with R2018b

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	17 Oct 2022	Extended to provide multivariate support for up to 5 variables
2.1	17 Sep 2021	Enhanced help files
1.0.1	21 May 2020	More descriptive title and summary
1.0.0	2 Apr 2020

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

MLA	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.
APA	Farmer, J., & Jacobs, D. J. (2022). MATLAB tool for probability density assessment and nonparametric estimation. SoftwareX, 18, 101017. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.softx.2022.101017
BibTeX	@article{Farmer_2022, doi = {10.1016/j.softx.2022.101017}, url = {https://doi.org/10.1016%2Fj.softx.2022.101017}, year = 2022, month = {jun}, publisher = {Elsevier {BV}}, volume = {18}, pages = {101017}, author = {Jenny Farmer and Donald J. Jacobs}, title = {{MATLAB} tool for probability density assessment and nonparametric estimation}, journal = {{SoftwareX}} }