Base class for segmenters

Usage

new_seg_cpt(
  x = numeric(),
  pkg = character(),
  base_class = character(),
  algorithm = NA,
  changepoints = integer(),
  fitness = double(),
  seg_params = list(),
  model_name = "meanshift_norm",
  penalty = "BIC",
  ...
)

seg_cpt(x, ...)

Arguments

x: a numeric vector coercible into a stats::ts() object
pkg: name of the package providing the segmenter
base_class: class of the underlying object
algorithm: Algorithm used to find the changepoints
changepoints: a possibly empty list() of candidate changepoints
fitness: A named double vector whose name reflects the penalty applied
seg_params: a possibly empty list() of segmenter parameters
model_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 ignored

Value

A seg_cpt object.