View source: R/wrap_univariate.R
wrap.algo | R Documentation |
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,...)
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,
reset = FALSE), ...)
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 |
... |
currently ignored. |
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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