Multivariate Probability Density Estimation
버전 3.0 (73.8 KB) 작성자:
jenny farmer
Nonparametric plotting and analysis tool to compute a probability density estimate for multivariate data
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.
인용 양식
jenny farmer (2026). Multivariate Probability Density Estimation (https://github.com/jennyfarmer/PDFAnalyze), GitHub. 검색 날짜: .
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.
MATLAB 릴리스 호환 정보
개발 환경:
R2018b
R2018a 이상 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
Help Center 및 MATLAB Answers에서 Probability Density Functions에 대해 자세히 알아보기
태그
GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음
| 버전 | 게시됨 | 릴리스 정보 | |
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| 3.0 | Extended to provide multivariate support for up to 5 variables |
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| 2.1 | Enhanced help files |
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| 1.0.1 | More descriptive title and summary |
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| 1.0.0 |
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