This paper presents saCI, an R package that implements the stochastic approximation method for constructing nonparametric confidence intervals for Pearson's correlation coefficient. The package is based on the algorithm proposed by Garthwaite (1996) and further developed by Xiong & Xu (2016). The implementation provides both the stochastic approximation (SA) method and the bootstrap BCa method for comparison, along with an interactive Shiny application for exploratory analysis. The package has been successfully published on CRAN, demonstrating its compliance with R package standards and reproducibility.

翻译：本文介绍saCI，一个实现随机逼近方法以构建皮尔逊相关系数非参数置信区间的R包。该包基于Garthwaite（1996）提出的算法及Xiong与Xu（2016）的进一步发展。实现提供了随机逼近（SA）方法和bootstrap BCa方法以供比较，同时包含用于探索性分析的交互式Shiny应用。该包已成功发布于CRAN，表明其符合R包标准并具备可复现性。