epidataCS_update  R Documentation 
"epidataCS"
The update
method for the "epidataCS"
class
may be used to modify the hyperparameters \epsilon
(eps.t
)
and \delta
(eps.s
), the indicator matrix qmatrix
determining
possible transmission between the event types, the numerical
accuracy nCircle2Poly
of the polygonal approximation, and
the endemic covariates from stgrid
(including the time intervals).
The update method will also update the auxiliary information contained
in an "epidataCS"
object accordingly, e.g., the vector of potential
sources of each event, the influence regions, or the endemic covariates
copied from the new stgrid
.
## S3 method for class 'epidataCS'
update(object, eps.t, eps.s, qmatrix, nCircle2Poly, stgrid, ...)
object 
an object of class 
eps.t 
numeric vector of length 1 or corresponding to the number of events in

eps.s 
numeric vector of length 1 or corresponding to the number of events in

qmatrix 
square indicator matrix (0/1 or TRUE/FALSE) for possible transmission between the event types. 
nCircle2Poly 
accuracy (number of edges) of the polygonal approximation of a circle. 
stgrid 
a new 
... 
unused (argument of the generic). 
The updated "epidataCS"
object.
Sebastian Meyer
class "epidataCS"
.
data("imdepi")
## assume different interaction ranges and simplify polygons
imdepi2 < update(imdepi, eps.t = 20, eps.s = Inf, nCircle2Poly = 16)
(s < summary(imdepi))
(s2 < summary(imdepi2))
## The update reduced the number of infectives (along time)
## because the length of the infectious periods is reduced. It also
## changed the set of potential sources of transmission for each
## event, since the interaction is shorter in time but wider in space
## (eps.s=Inf means interaction over the whole observation region).
## use a timeconstant grid
imdepi3 < update(imdepi, stgrid = subset(imdepi$stgrid, BLOCK == 1, stop))
(s3 < summary(imdepi3)) # "1 time block"
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