论文标题
最强的软件包：重新审视的两样本测试
The robusTest package: two-sample tests revisited
论文作者
论文摘要
R软件包鲁棒提供了双变量统计中几种常见测试的校正版本。我们指出了这些测试在其经典版本中的局限性，其中有些是众所周知的，例如鲁棒性或校准问题，并提供了可以轻松使用的简单替代方案。通过一项小型模拟研究比较了经典测试及其鲁棒替代方案。后者强调了感兴趣测试的强大版本的优越性。最后，还提供了相关测试对真实数据集的测试的说明。
The R package robusTest offers corrected versions of several common tests in bivariate statistics. We point out the limitations of these tests in their classical versions, some of which are well known such as robustness or calibration problems, and provide simple alternatives that can be easily used instead. The classical tests and theirs robust alternatives are compared through a small simulation study. The latter emphasizes the superiority of robust versions of the test of interest. Finally, an illustration of correlation's tests on a real data set is also provided.
