Modern statistical process monitoring (SPM) applications focus on profile monitoring, i.e., the monitoring of process quality characteristics that can be modeled as profiles, also known as functional data. Despite the large interest in the profile monitoring literature, there is still a lack of software to facilitate its practical application. This article introduces the funcharts R package that implements recent developments on the SPM of multivariate functional quality characteristics, possibly adjusted by the influence of additional variables, referred to as covariates. The package also implements the real-time version of all control charting procedures to monitor profiles partially observed up to an intermediate domain point. The package is illustrated both through its built-in data generator and a real-case study on the SPM of Ro-Pax ship CO2 emissions during navigation, which is based on the ShipNavigation data provided in the Supplementary Material.

翻译：现代统计过程监控（SPM）应用侧重于轮廓监控，即对可建模为轮廓（也称为函数数据）的过程质量特性进行监控。尽管轮廓监控文献受到广泛关注，但仍缺乏促进其实际应用的软件。本文介绍了funcharts R包，该包实现了多元函数质量特性SPM的最新进展，并可针对额外变量（称为协变量）的影响进行调整。该包还实现了所有控制图程序的实时版本，用于监控部分观测到中间域点的轮廓。本文通过其内置数据生成器和一个关于Ro-Pax船舶航行期间二氧化碳排放SPM的实际案例研究（基于补充材料中提供的ShipNavigation数据）对该包进行了说明。