cusumArl | R Documentation |
Computes the ARL function by simulation
cusumArl(..., randFunc = rnorm, N = 100, limit = 10000, seed = NA, kp = 1, km = -1, hp = 3, hm = -3, side = "both", printSummary = TRUE)
... |
arguments such as mean, lambda or sd to be passed to the appropriate random genneration function |
randFunc |
a random generation function |
N |
the number of replicates |
limit |
safety parameter, stop rule for procedures with very long ARL |
seed |
a single value, interpreted as an integer. If specified make the simulation replicable. |
kp |
K^+ parameter of the control scheme |
km |
K^- parameter of the control scheme |
hp |
h^+ parameter of the control scheme |
hm |
h^- parameter of the control scheme |
side |
a character string specifying the side of the control scheme, must be one of "both" (default), "upper" or "lower" |
printSummary |
logical, if |
a list with elements:
rls |
a numeric vector representing the Run Length of the simulation |
statistics |
a numeric vector with summary statistics |
run |
a list of length |
Daniele Amberti
Kenett, R., Zacks, S. with contributions by Amberti, D. Modern Industrial Statistics: with applications in R, MINITAB and JMP. Wiley.
cusumArl(mean=1, seed=123, N=100, limit=1000) cusumArl(size=100, prob=0.05, kp=5.95, km=3.92, hp=12.87, hm=-8.66, randFunc=rbinom, seed=123, N=100, limit=2000) cusumArl(lambda=10, kp=12.33, km=8.41, hp=11.36, hm=-12.91, randFunc=rpois, seed=123, N=100, limit=2000)
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