wrap.algo: Multivariate Surveillance through independent univariate...

In surveillance: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Multivariate Surveillance through independent univariate algorithms

Description

This function takes an sts object and applies an univariate surveillance algorithm to the time series of each observational unit.

Usage

wrap.algo(sts, algo, control,control.hook=function(k, control)
         return(control),verbose=TRUE,...)


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),...)

Arguments

sts	Object of class sts
algo	Character string giving the function name of the algorithm to call, e.g. "algo.farrington". Calling is done using do.call.
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 TRUE then textual information about the process is given
...	currently ignored.

Value

An sts object with the alarm, upperbound, etc. slots filled with the results of independent and univariate surveillance algorithm.

Author(s)

M. Höhle

See Also

algo.rki, algo.farrington, algo.cusum, algo.glrpois, algo.glrnb, algo.outbreakP for the exact form of the control object.

surveillance documentation built on Nov. 28, 2023, 8:04 p.m.