LOPART100

<p>Results of running LOPART algorithm (for changepoint detection in
  partially labeled data sequence) on a simulated data set of size 100.</p>

datasets

An extensible framework
for automatically placing direct labels onto multicolor 'lattice' or
'ggplot2' plots.
Label positions are described using Positioning Methods
which can be re-used across several different plots.
There are heuristics for examining "trellis" and "ggplot" objects
and inferring an appropriate Positioning Method.

Toby Hocking

directlabels

Direct Labels for Multicolor Plots

LOPART100 function

<p>Named list of data frames: signal has one row per data point, labels has
one row per label, segments has one row per segment, cost has one row
per feasible last changepoint for model up to t=100 data.</p>

LOPART100: Labeled Optimal Partitioning (LOPART) results

Description

Usage

Arguments

Format