  Monitoring the quality of statistical processes has been of great importance,
mostly in industrial applications. Control charts are widely used for this
purpose, but often lack the possibility to monitor survival outcomes. Recently,
inspecting survival outcomes has become of interest, especially in medical
settings where outcomes often depend on risk factors of patients. For this
reason many new survival control charts have been devised and existing ones
have been extended to incorporate survival outcomes. The R package success
allows users to construct risk-adjusted control charts for survival data.
Functions to determine control chart parameters are included, which can be used
even without expert knowledge on the subject of control charts. The package
allows to create static as well as interactive charts, which are built using
ggplot2 (Wickham 2016) and plotly (Sievert 2020).
