base_segment: Base arguments for segment function

In segmentr: Segment Data With Maximum Likelihood

Description

Describe base arguments for segment function

Usage

base_segment(data, likelihood, max_segments, allow_parallel)

Arguments

data	matrix for which to find the change points
likelihood	a function receives the segment matrix as argument and returns a likelihood estimation. This function is used to calculate the change points that maximize the total likelihood. Depending on the algorithm being used, this function is likely to be executed many times, in which case it's also likely to be the bottleneck of the function execution, so it's advised that this function should have fast implementation.
max_segments	an integer that defines the maximum amount of segments to split the data into.
allow_parallel	allows parallel execution to take place using the registered cluster. Assumes a cluster is registered with the foreach package. Defaults to TRUE.

Value

a list of type segmentr, which has the two attributes:

• changepoints: a vector with the first index of each identified change point

• segments: a list of vectors, in which each vector corresponds to the indices that identifies a segment.

segmentr documentation built on Aug. 29, 2019, 1:03 a.m.