Default class for candidate changepoint sets
new_seg_basket( x = numeric(), algorithm = NA, cpt_list = list(), seg_params = list(), model_name = "meanshift_norm", penalty = "BIC", ... ) seg_basket(x, ...)
x
: a numeric vector coercible into a stats::ts()
objectalgorithm
: Algorithm used to find the changepointscpt_list
: a possibly empty list()
of candidate changepointsseg_params
: a possibly empty list()
of segmenter parametersmodel_name
: character indicating the model used to find the changepoints.penalty
: character indicating the name of the penalty function used to find the changepoints....
: currently ignoredA seg_basket()
object.
seg <- seg_basket(DataCPSim, cpt_list = list(c(365), c(330, 839))) str(seg) as.ts(seg) changepoints(seg) fitness(seg)