fpop_analysis

A vector of double : the signal to be segmented

lambda

Min value for the mean parameter of the segment

mini

Max value for the mean parameter of the segment

maxi

A function to count the number of intervals and or candidate
segmentation at each step of fpop (under-developpemment)

A dynamic programming algorithm for the fast segmentation of univariate signals into piecewise constant profiles.
The 'fpop' package is a wrapper to a C++ implementation of the fpop (Functional Pruning Optimal Partioning) algorithm described in Maidstone et al. 2017
<doi:10.1007/s11222-016-9636-3>. The problem of detecting changepoints in an univariate sequence is formulated
in terms of minimising the mean squared error over segmentations. The fpop algorithm exactly minimizes the mean squared error
for a penalty linear in the number of changepoints.

Guillem Rigaill

fpop_analysis: fpop analysis

Description

Usage

Arguments

Value