Provides functions for constructing and evaluating CUSUM charts and RA-CUSUM charts with focus on false signal probability.
The goal of cusum is to provide functions for constructing and evaluating CUSUM charts and RA-CUSUM charts with focus on false signal probability.
You can install the released version of cusum from CRAN with:
This is a basic example which shows you how to construct CUSUM charts with simulated control limits:
library(cusum)limit <- cusum_limit_sim(failure_probability = 0.05,n_patients = 100,odds_multiplier = 2,n_simulation = 1000,alpha = 0.05,seed = 2018)print(limit)#>  2.712558set.seed(2018)patient_outcomes <- as.logical(rbinom(n = 100, size = 1, prob = 0.05))cs <- cusum(failure_probability = 0.05,patient_outcomes,limit,odds_multiplier = 2)plot(cs)