1. Recent developments in modern coexistence theory (MCT) have advanced our understanding of how species interactions among themselves and with the environment influence community dynamics.
2. Although the formulation of MCT is mathematically clear, its application to empirical cases is still challenging, which precludes its adoption by a large range of ecologists and evolutionary biologists interested in broad questions related to community assembly and the maintenance of species diversity.
3. We developed cxr, an r package that provides a complete toolbox for calculating species vital rates and interaction parameters, from which the user can obtain estimates of coexistence outcomes based on stabilizing niche differences and average fitness differences.
4. Our aim is to offer a highly versatile package to accommodate different research needs. This means that the user can define population models, use different optimization algorithms and include the effect of external covariates on species interactions, which may include environmental variables (e.g. temperature, precipitation, salinity) and biotic controls (e.g. predation, pollination, mycorrhizae).
5. To illustrate the functionality and versatility of cxr, we provide a complete set of population dynamic models and a dataset from a highly diverse grassland community.
6. By building bridges between MCT formulation and its implementation, we provide tools to obtain a deeper mechanistic understanding of how species interactions determine basic patterns such as species abundances and dominance, which are core information for many applied fields, such as conservation, restoration and invasion biology.
7. Finally, the package is not limited taxonomically to any particular group. The application of tools derived from MCT to a wide range of different systems can create feedbacks between empirical and theoretical studies in a way that stimulates a better understanding of the processes maintaining biodiversity.

中文翻译：

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cxr：用于在R中建模物种共存的工具箱

1. 现代共存理论（MCT）的最新发展使我们对物种之间以及与环境的相互作用如何影响群落动态的理解更加深入。
2. 尽管MCT的公式在数学上很清楚，但其在经验案例中的应用仍然具有挑战性，这使得许多对与社区组装和物种多样性维护相关的广泛问题感兴趣的生态学家和进化生物学家无法采用它。
3. 我们开发了cxr（r包），它提供了一个完整的工具箱来计算物种的生命率和相互作用参数，从中用户可以基于稳定的利基差异和平均适应度差异来获得共存结果的估计。
4. 我们的目标是提供一种高度通用的软件包，以适应不同的研究需求。这意味着用户可以定义种群模型，使用不同的优化算法，并包括外部协变量对物种相互作用的影响，其中可能包括环境变量（例如温度，降水，盐度）和生物控制（例如捕食，授粉，菌根）。
5. 为了说明cxr的功能和多功能性，我们提供了一套完整的种群动态模型和来自高度多样化的草原社区的数据集。
6. 通过在MCT制定及其实施之间架起桥梁，我们提供工具，以更深入地了解物种相互作用如何确定基本模式（例如物种丰度和优势），这是许多应用领域（如保护，恢复和入侵生物学）的核心信息。
7. 最后，该软件包在分类学上不限于任何特定组。将源自MCT的工具应用于各种不同的系统，可以在经验研究和理论研究之间产生反馈，从而激发人们对维持生物多样性过程的更好理解。