run.cghseg: run cghseg

Description Usage Arguments Value Author(s)

View source: R/cghseg.R

Description

Estimate the least squares model for a noisy signal. We use the cghseg package, which implements the pruned dynamic programming method of Rigaill (2010) to find, for all k=1,...,maxSegments: argmin_x has k segments ||Y-x||^2_2.

Usage

1
run.cghseg(Y, base = seq_along(Y), maxSegments = 20)

Arguments

Y

Numeric vector of the noisy signal to segment.

base

Integer vector of bases where Y is sampled.

maxSegments

Maximum number of segments to consider.

Value

List containing the solutions. The "segments" element is a data.frame that describes the segmentation model, with 1 line for each segment.

Author(s)

Guillem Rigaill, Toby Dylan Hocking


SegAnnot documentation built on May 31, 2017, 3:21 a.m.

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