Create CUSUM (cumulative sum) statistics from a vector or dataframe.
    Also create single or faceted CUSUM control charts, with or without control limits.
    Accepts vector, dataframe, tibble or data.table inputs.

Computation of decision intervals (H) and average run lengths (ARL) for CUSUM charts. Details of the method are seen in Hawkins and Olwell (2012): Cumulative sum charts and charting for quality improvement, Springer Science & Business Media.

Package to analyze the clinical utility of a biomarker. It provides the clinical utility curve, clinical utility table, efficacy of a biomarker, clinical efficacy curve and tests to compare efficacy between markers.

Estimate one or two cutpoints of a metric or ordinal-scaled 
    variable in the multivariable context of survival data or 
    time-to-event data. Visualise the cutpoint estimation process using contour 
    plots, index plots, and spline plots. It is also possible to estimate 
    cutpoints based on the assumption of a U-shaped or inverted U-shaped 
    relationship between the predictor and the hazard ratio.
    Govindarajulu, U., and Tarpey, T. (2022) <doi:10.1080/02664763.2020.1846690>.

Estimate cutpoints that optimize a specified metric in binary classification tasks
    and validate performance using bootstrapping. Some methods for more robust cutpoint
    estimation are supported, e.g. a parametric method assuming normal distributions,
    bootstrapped cutpoints, and smoothing of the metric values per cutpoint using
    Generalized Additive Models. Various plotting functions are included. For an overview
    of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.

Use optimal equal-HR method to determine two optimal cutpoints of a continuous predictor that has a U-shaped relationship with survival outcomes based on Cox regression model. The optimal equal-HR method estimates two optimal cut-points that have approximately the same log hazard value based on Cox regression model and divides individuals into different groups according to their HR values.