buildClass-method: Build Extended S4 Class
In 4301350/sm4sd: Statistical Modeling for Sensor Data

buildClass extends the class RS to SM.dlm and SM.HL by adding the additional informations.

buildClass(object, method, freq, ind, lagMax, verify, parallel)

## S4 method for signature 'RS,character'
buildClass(object, method, freq, ind, lagMax,
  verify, parallel)

`object`	An object of `RS` class.
`method`	An character value indicating the method to apply. Available method in this package are: dlm: build a `SM.dlm` class; hl: build a `SM.HL` class.
`freq`	Object with type ANY. dlm method: a positive intervalue indicating the seasonality of the time series' structure; hl method: a NULL value, it is not necessary for `SM.HL` class.
`ind`	R object with type ANY. dlm method: a list containing outliers or human intervention indexes; hl method: a numeric value indicating the offset value.
`lagMax`	R object with type ANY. For dlm method, `lagMax` is an integer value indicating the maximum effect lag for each outlier. Check section Details in `SM.dlm` for more information.
`verify`	R object with type ANY. For dlm method, `verify` is a logical value indicating whether the validation process should be applied. Check section Details in `SM.dlm` for more information.
`parallel`	R object with type ANY. For dlm method, `verify` is a logical value indicating whether the parallel process should be applied.

n <- 50
# An example to create the RS class.
my_first_class <- RS(sigb = rnorm(n, mean = 0, sd = 1),
                     epsb = rnorm(n, mean = 0, sd = 2),
                     epsp = rnorm(n, mean = 1, sd = 1))

# build class
## build dlm model
dlm_class <- buildClass(object = my_first_class,
                        method = "dlm", freq = 1,
                        ind = list(), lagMax = 3,
                        verify = TRUE, parallel = TRUE)
## build HL model
hl_class <- buildClass(object = my_first_class,
                       method = "HL", ind = 9.5)
### ind in this case is offset