ragscusum: RA-Grouped-CUSUM chart

In cusum: Cumulative Sum (CUSUM) Charts for Monitoring of Hospital Performance

Description

Calculate GSCUSUM chart for risk-adjusted processes.

Usage

ragscusum(input_ra_outcomes, limit, quantiles, max_num_shuffles = 10000L,
  seed = 0L)

Arguments

input_ra_outcomes	Matrix. First column are binary patient outcomes (0,1). Second column are patient individual weight for adverse event (failure) and third column patient individual weight for no adverse event (success). Fourth column are continuous sequence of block identifier.
limit	Double. Control limit for signalling performance change
quantiles	Double. Vector of requested quantiles of RA-GSCUSUM distribution
max_num_shuffles	Integer. Number of shuffles (i.e. different sequences of observations)
seed	Integer. Seed for RNG (if = 0 random seed is set (default))

Value

ragscusum NumericMatix, signal probability, average CUSUM value and specified quantiles for every observation.

cusum documentation built on Oct. 2, 2019, 5:03 p.m.