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

https://github.com/jennyfarmer/PDFAnalyze

팔로우

5.0

(1)

다운로드 수: 207

업데이트 날짜: 2022/10/17

GitHub에서 라이선스 보기

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 (2024). Multivariate Probability Density Estimation (https://github.com/jennyfarmer/PDFAnalyze), GitHub. 검색됨 2024/4/23.

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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개발 환경: R2018b

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GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전	게시됨	릴리스 정보
3.0	2022/10/17	Extended to provide multivariate support for up to 5 variables
2.1	2021/9/17	Enhanced help files
1.0.1	2020/5/21	More descriptive title and summary
1.0.0	2020/4/2

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.

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}} }