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changepointsHD (version 0.3.3)

Change-Point Estimation for Expensive and High-Dimensional Models

Description

This implements the methods developed in, L. Bybee and Y. Atchade. (2018). Contains a series of methods for estimating change-points given user specified black-box models. The methods include binary segmentation for multiple change-point estimation. For estimating each individual change-point the package includes simulated annealing, brute force, and, for Gaussian graphical models, an applications specific rank-one update implementation. Additionally, code for estimating Gaussian graphical models is included. The goal of this package is to allow for the efficient estimation of change-points in complicated models with high dimensional data.

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Version

Install

install.packages('changepointsHD')

Monthly Downloads

31

Version

0.3.3

License

GPL (>= 2)

Maintainer

Leland Bybee

Last Published

September 20th, 2019

Functions in changepointsHD (0.3.3)

binary_segmentation

Multiple change-point method.
simulated_annealing

Single change-point simulated annealing method
prox_gradient_mapping

Proximal-gradient mapping method.
changepointsMod-class

An S4 class corresponding to the change-point model.
bbmod_method

Wrapper method for black-box estimation.
rank_one

Rank one update single change-point estimation.
prox_gradient_ll

Proxmal-gradient log-likelihood estimator.
log_likelihood_method

Wrapper method for log-likelihood estimation.
brute_force

Single change-point brute force method.
changepointsHD-package

changepointsHD