Multivariate Probability Density Estimation

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

https://github.com/jennyfarmer/PDFAnalyze

版本 3.0 (73.8 KB)
240.0 次下载
(1)
2022/10/17

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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.

引用格式

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

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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类别

在 Help Center 和 MATLAB Answers 中查找有关 Probability Density Functions 的更多信息

一般信息

MATLAB 版本兼容性

  • 与 R2018a 及更高版本兼容

平台兼容性

  • Windows
  • macOS
  • Linux
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无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
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

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。