Multivariate Probability Density Estimation

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

https://github.com/jennyfarmer/PDFAnalyze

Al momento, stai seguendo questo contributo

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.

Cita come

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

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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Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con R2018a e release successive

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release Action
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

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.