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Journal of Open Source Software最新文献

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dropout: an R Package for Addressing Dropouts, MissingValues, and Sectional Challenges in Survey Data Analysis dropout:用于解决调查数据分析中的辍学、缺失值和截面难题的 R 软件包
Pub Date : 2024-03-30 DOI: 10.21105/joss.06181
Hendrik Mann
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引用次数: 0
fABBA: A Python library for the fast symbolicapproximation of time series fABBA:用于时间序列快速符号逼近的 Python 库
Pub Date : 2024-03-30 DOI: 10.21105/joss.06294
Xinye Chen, Stefan Güttel
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引用次数: 0
simChef: High-quality data science simulations inR simChef:R 中的高质量数据科学模拟
Pub Date : 2024-03-28 DOI: 10.21105/joss.06156
James Duncan, Tiffany Tang, Corrine F. Elliott, Philippe Boileau, Bin Yu
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引用次数: 1
TDApplied: An R package for machine learning andinference with persistence diagrams TDApplied:用于机器学习和持久图推断的 R 软件包
Pub Date : 2024-03-27 DOI: 10.21105/joss.06321
Shael Brown, Reza Farivar-Mohseni
Topological data analysis is a collection of tools, based on the mathematical fields of topology and geometry, for finding structure in whole datasets. Its main tool, persistent homology (Edelsbrunner et al., 2000; Zomorodian & Carlsson, 2005), computes a shape descriptor of a dataset called a persistence diagram which encodes information about holes that exist in the dataset (example applications span a variety of areas, see for example Gracia-Tabuenca et al. (2020), Haim Meirom & Bobrowski (2022)
拓扑数据分析是一系列基于拓扑学和几何学数学领域的工具,用于发现整个数据集的结构。其主要工具持久同构(Edelsbrunner 等人,2000 年;Zomorodian & Carlsson,2005 年)计算数据集的形状描述符,称为持久图,其中编码了数据集中存在的洞的信息(应用实例涉及多个领域,参见 Gracia-Tabuenca 等人 (2020)、Haim Meirom & Bobrowski (2022) 等)。
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引用次数: 0
Mold: a LAMMPS package to compute interfacial freeenergies and nucleation rates Mold:用于计算界面自由能和成核率的 LAMMPS 软件包
Pub Date : 2024-03-26 DOI: 10.21105/joss.06083
Andrés R. Tejedor, Ignacio Sanchez-Burgos, Eduardo Sanz, C. Vega, F. J. Blas, R. Davidchack, N. Pasquale, J. Ramírez, J. R. Espinosa
The determination of the free energy cost of forming an interface between two phases, i
确定两相之间形成界面的自由能成本 i
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引用次数: 0
bonsai_ipcc - a Python package for the calculation ofnational greenhouse gas inventories bonsai_ipcc - 用于计算国家温室气体清单的 Python 软件包
Pub Date : 2024-03-26 DOI: 10.21105/joss.06123
M. Budzinski, Joao F. D. Rodrigues, Mathieu Delpierre
The aim of the bonsai_ipcc Python package is to enable users to calculate national greenhouse gas (GHG) inventories based on the guidelines provided by the International Panel on Climate Change (IPCC) (Intergovernmental Panel on Climate Change, 2023). In implementing the equations and parameter data from these guidelines, the package adheres to the organizational structure outlined in the guidelines’ PDF documents, which include volumes and chapters
bonsai_ipcc Python 软件包旨在帮助用户根据国际气候变化专门委员会(IPCC)(Intergovernmental Panel on Climate Change, 2023)提供的指南计算国家温室气体(GHG)清单。在执行这些指南中的方程和参数数据时,该软件包遵循指南 PDF 文档中列出的组织结构,其中包括卷和章节
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引用次数: 0
quadkeyr: Tools for converting QuadKey-identifieddatasets (Microsoft’s Bing Maps Tile System) into raster images andanalyzing Meta (Facebook) Mobility Data quadkeyr:将 QuadKey 识别的数据集(微软必应地图瓦片系统)转换为光栅图像并分析 Meta(Facebook)移动数据的工具
Pub Date : 2024-03-25 DOI: 10.21105/joss.06500
Florencia D’Andrea, Pilar Fernandez
The quadkeyr R package presents a comprehensive toolkit for generating raster images from Quadkey-Identified data within Microsoft’s Bing Maps Tile System (Schwartz, 2022). Designed to integrate Quadkey-Identified data into R workflows, this package facilitates the creation of QuadKey grids and raster images and introduces specialized functions for the processing of Meta (also known as Facebook) Mobility data ( Data for Good at Meta Website , 2024)
quadkeyr R 软件包提供了一个综合工具包,用于从微软必应地图瓦片系统(Schwartz,2022 年)中的 Quadkey-Identified 数据生成栅格图像。该软件包旨在将 Quadkey-Identified 数据集成到 R 工作流中,便于创建 QuadKey 网格和栅格图像,并引入了处理 Meta(又称 Facebook)移动数据的专门功能(Data for Good at Meta Website , 2024)。
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引用次数: 0
pyEQL: A Python interface for water chemistry pyEQL:水化学 Python 界面
Pub Date : 2024-03-25 DOI: 10.21105/joss.06295
R. Kingsbury
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引用次数: 1
Acanthophis: a comprehensive plant hologenomicspipeline Acanthophis:一条全面的植物全息组学管道
Pub Date : 2024-03-25 DOI: 10.21105/joss.06062
Kevin Murray, Justin Borevitz, Detlef Weigel, N. Warthmann
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引用次数: 0
Viable North Sea (ViNoS): A NetLogo Agent-based Modelof German Small-scale Fisheries 可行的北海 (ViNoS):基于 NetLogo 的德国小型渔业代理模型
Pub Date : 2024-03-24 DOI: 10.21105/joss.05731
C. Lemmen, Sascha Hokamp, Serra Örey, J. Scheffran
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引用次数: 0
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Journal of Open Source Software
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