Abstract Climate-growth relationships are usually analysed using monthly climate data. The dendroTools R package also provides methodological approaches that enable climate-growth analysis for daily climate data. Such analysis reveals more complete climate signal patterns. In this article, new functions of the dendroTools R package are presented. Partial correlation coefficients are now implemented and can be used to calculate the strength of a linear relationship between two variables, while controlling for a third variable. Bootstrapped correlations can then be used to provide insights into the confidence intervals of statistical estimates. The calculation of partial and bootstrapped correlations is available for daily and monthly data. Finally, data transformation, S3 generic plotting and summary functions are also presented here.

中文翻译：

---

dendroTools R 包中的新功能：月度和日气候数据的自举和偏相关系数

摘要 气候-增长关系通常使用月度气候数据进行分析。dendroTools R 包还提供了方法论方法，可以对日常气候数据进行气候增长分析。这种分析揭示了更完整的气候信号模式。在本文中，介绍了 dendroTools R 包的新功能。现在实现了偏相关系数，可用于计算两个变量之间线性关系的强度，同时控制第三个变量。然后可以使用自举相关来深入了解统计估计的置信区间。部分和自举相关的计算可用于每日和每月数据。最后，这里还介绍了数据转换、S3 通用绘图和汇总函数。