Nothing

```
# ------------- class sts ----------------------------------------
.sts <- setClass(
"sts",
slots = c(
epoch = "numeric", # this slot was called "week" in surveillance < 1.3
freq = "numeric",
start = "numeric",
observed = "matrix",
state = "matrix",
alarm = "matrix",
upperbound = "matrix",
neighbourhood = "matrix",
populationFrac = "matrix",
map = "SpatialPolygons",
control = "list",
## New slots added in version 1.1-2 to handle proportion time series:
epochAsDate = "logical",
multinomialTS = "logical"
),
prototype = list(
start = c(2000, 1), freq = 52, # historical defaults
epochAsDate = FALSE, multinomialTS = FALSE
),
validity = function (object) {
dimObserved <- dim(object@observed)
namesObserved <- colnames(object@observed)
errors <- c(
if (!isScalar(object@freq) || object@freq <= 0)
"'freq' must be a single positive number",
if (length(object@start) != 2)
"'start' must be of length two: (year, week/month/idx)",
if (!is.numeric(object@observed))
"'observed' must be a numeric matrix",
## check consistency of slot dimensions wrt dim(observed):
if (length(object@epoch) != dimObserved[1L])
"'epoch' must be of length 'nrow(observed)'",
if (!identical(dim(object@state), dimObserved))
"'state' must have the same dimensions as 'observed'",
if (!identical(dim(object@alarm), dimObserved))
"'alarm' must have the same dimensions as 'observed'",
if (!identical(dim(object@upperbound), dimObserved))
"'upperbound' must have the same dimensions as 'observed'",
if (!identical(dim(object@neighbourhood), dimObserved[c(2L,2L)]))
"'neighbourhood' must be a square matrix of size 'ncol(observed)'",
if (!identical(dim(object@populationFrac), dimObserved))
"'populationFrac' must have the same dimensions as 'observed'",
## disallow NULL colnames in *multivariate* "sts" objects
if (dimObserved[2L] > 1 && is.null(namesObserved))
"units must be named (set 'colnames(observed)')",
## FIXME: should we generally disallow NULL colnames?
## NOTE: aggregate(by="unit") previously (<= 1.15.0) had no colnames
## if a map is provided, it must cover all colnames(observed):
if (length(object@map) > 0 && # i.e., not the empty prototype
!all(namesObserved %in% row.names(object@map)))
"'map' is incomplete; ensure that all(colnames(observed) %in% row.names(map))",
## check booleans
if (length(object@epochAsDate) != 1 || is.na(object@epochAsDate))
"'epochAsDate' must be either TRUE or FALSE",
if (length(object@multinomialTS) != 1 || is.na(object@multinomialTS))
"'multinomialTS' must be either TRUE or FALSE"
)
if (length(errors) > 0) errors else TRUE
}
)
######################################################################
# Definition of the stsBP class for backprojections.
######################################################################
setClass("stsBP",
slots = list(
ci = "array",
lambda = "array"
),
contains = "sts")
######################################################################
# Definition of the stsNC class for nowcasts.
######################################################################
setClass("stsNC",
slots = list(
reportingTriangle = "matrix",
predPMF = "list",
pi = "array",
truth = "sts",
delayCDF = "list",
SR = "array"
),
contains = "sts")
```

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