{"title":"onsetsync: An R Package for Onset Synchrony\u0000Analysis","authors":"T. Eerola, Martin Clayton","doi":"10.21105/joss.05395","DOIUrl":"https://doi.org/10.21105/joss.05395","url":null,"abstract":"","PeriodicalId":503081,"journal":{"name":"Journal of Open Source Software","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quentin Batista, Chase Coleman, Yuya Furusawa, Shu Hu, Smit Lunagariya, Spencer Lyon, Matthew McKay, Daisuke Oyama, Thomas J. Sargent, Zejin Shi, J. Stachurski, Pablo Winant, Natasha Watkins, Ziyue Yang, Hengcheng Zhang
{"title":"QuantEcon.py: A community based Python library for\u0000quantitative economics","authors":"Quentin Batista, Chase Coleman, Yuya Furusawa, Shu Hu, Smit Lunagariya, Spencer Lyon, Matthew McKay, Daisuke Oyama, Thomas J. Sargent, Zejin Shi, J. Stachurski, Pablo Winant, Natasha Watkins, Ziyue Yang, Hengcheng Zhang","doi":"10.21105/joss.05585","DOIUrl":"https://doi.org/10.21105/joss.05585","url":null,"abstract":"","PeriodicalId":503081,"journal":{"name":"Journal of Open Source Software","volume":"16 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Gargiulo, María Juliana Durán, Paula Andrea Amado, Patrick Ball
{"title":"verdata: An R package for analyzing data from the Truth\u0000Commission in Colombia","authors":"Maria Gargiulo, María Juliana Durán, Paula Andrea Amado, Patrick Ball","doi":"10.21105/joss.05844","DOIUrl":"https://doi.org/10.21105/joss.05844","url":null,"abstract":"","PeriodicalId":503081,"journal":{"name":"Journal of Open Source Software","volume":"1 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gibbs Sea Water Oceanographic Toolbox of TEOS-10\u0000implemented in Rust","authors":"G. Castelão, L. Irber","doi":"10.21105/joss.05988","DOIUrl":"https://doi.org/10.21105/joss.05988","url":null,"abstract":"The","PeriodicalId":503081,"journal":{"name":"Journal of Open Source Software","volume":"50 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139452022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Copulas are functions that describe dependence structures of random vectors, without describing their univariate marginals. In statistics, the separation is sometimes useful, the quality and/or quantity of available information on these two objects might differ. This separation can be formally stated through Sklar's theorem. Copulas are standard tools in probability and statistics, with a wide range of applications from biostatistics, finance or medicine, to fuzzy logic, global sensitivity and broader analysis. The Julia package texttt{Copulas.jl} brings most standard copula-related features into native Julia: random number generation, density and distribution function evaluations, fitting, construction of multivariate models through Sklar's theorem, and many more related functionalities. Copulas being fundamentally distributions of random vectors, we fully comply with the texttt{Distributions.jl} API, the Julian standard for implementation of random variables and random vectors. This compliance allows interoperability with other packages based on this API such as, e.g., texttt{Turing.jl} and several others.
{"title":"Copulas.jl: A fully Distributions.jl-compliant copula\u0000package","authors":"Oskar Laverny, Santiago Jimenez","doi":"10.21105/joss.06189","DOIUrl":"https://doi.org/10.21105/joss.06189","url":null,"abstract":"Copulas are functions that describe dependence structures of random vectors, without describing their univariate marginals. In statistics, the separation is sometimes useful, the quality and/or quantity of available information on these two objects might differ. This separation can be formally stated through Sklar's theorem. Copulas are standard tools in probability and statistics, with a wide range of applications from biostatistics, finance or medicine, to fuzzy logic, global sensitivity and broader analysis. The Julia package texttt{Copulas.jl} brings most standard copula-related features into native Julia: random number generation, density and distribution function evaluations, fitting, construction of multivariate models through Sklar's theorem, and many more related functionalities. Copulas being fundamentally distributions of random vectors, we fully comply with the texttt{Distributions.jl} API, the Julian standard for implementation of random variables and random vectors. This compliance allows interoperability with other packages based on this API such as, e.g., texttt{Turing.jl} and several others.","PeriodicalId":503081,"journal":{"name":"Journal of Open Source Software","volume":"63 1-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140514473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"xeofs: Comprehensive EOF analysis in Python with\u0000xarray","authors":"Niclas Rieger, S. Levang","doi":"10.21105/joss.06060","DOIUrl":"https://doi.org/10.21105/joss.06060","url":null,"abstract":"","PeriodicalId":503081,"journal":{"name":"Journal of Open Source Software","volume":"101 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139391476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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