Multivariate Surveillance through independent univariate algorithms
This function takes an sts object and applies an univariate
surveillance algorithm to the time series of each observational unit.
wrap.algo(sts, algo, control,control.hook=function(k, control)
return(control),verbose=TRUE,...)
farrington(sts, control=list(range=NULL, b=5, w=3, reweight=TRUE,
verbose=FALSE, alpha=0.05),...)
bayes(sts, control = list(range = range, b = 0, w = 6,
actY = TRUE,alpha=0.05),...)
rki(sts, control = list(range = range, b = 2, w = 4,
actY = FALSE),...)
cusum(sts, control = list(range=range, k=1.04, h=2.26,
m=NULL, trans="standard",alpha=NULL),...)
glrpois(sts, control = list(range=range,c.ARL=5, S=1,beta=NULL,
Mtilde=1, M=-1, change="intercept",theta=NULL),...)
glrnb(sts, control = list(range=range,c.ARL=5, mu0=NULL, alpha=0,
Mtilde=1, M=-1, change="intercept",
theta=NULL,dir=c("inc","dec"),
ret=c("cases","value")),...)
outbreakP(sts, control=list(range = range, k=100,
ret=c("cases","value"),maxUpperboundCases=1e5),...)sts |
Object of class |
algo |
Character string giving the function name of the algorithm
to call, e.g. |
control |
Control object as list. Depends on each algorithm. |
control.hook |
This is a function for handling multivariate objects. This argument is a function function of integer k and the current control object and which returns the appropriate control object for region k. |
verbose |
Boolean, if |
... |
Additional arguments sent to the |
An sts object with the alarm, upperbound,
etc. slots filled with the results of independent and univariate
surveillance algorithm.
M. Höhle
algo.rki, algo.farrington,
algo.cusum, algo.glrpois,
algo.glrnb, algo.outbreakP
for the exact form of the control object.
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