• changepointsHD

• Referenced in 1 article [sw26719]
• package changepointsHD: Change-Point Estimation for Expensive and High-Dimensional Models. This implements the methods ... 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 ... allow for the efficient estimation of change-points in complicated models with high dimensional data...

• ShapeChange

• Referenced in 1 article [sw18167]
• package ShapeChange. Change-Point Estimation using Shape-Restricted Splines. In a scatterplot where the response ... change-point, which is a mode, an inflection point or a jump point. The main ... estimates the mean curve and the change-point as well using shape-restricted B-splines ... bootstrap confidence interval for the change-point is incorporated in the main routine...

• trend

• Referenced in 1 article [sw31461]
• trend: Non-Parametric Trend Tests and Change-Point Detection. The analysis of environmental data often ... requires the detection of trends and change-points. This package includes tests for trend detection ... Pearson and Spearman correlation trend test), change-point detection (Lanzante’s test procedures, Pettitt...

• cBrother

• Referenced in 2 articles [sw35382]
• Bayesian recombination detection. Bayesian multiple change-point models accurately detect recombination in molecular sequence data...

• modSaRa

• Referenced in 1 article [sw38305]
• quantile normalization, search for change-point candidates, eliminate unlikely change-points, and then output...

• VIFCP

• Referenced in 1 article [sw16253]
• package VIFCP: Detecting Change-Points via VIFCP Method. Contains a function to support the paper ... sequential multiple change-point detection procedure via VIF regression’ (Accepted by Computational Statistics...

• linearQ

• Referenced in 1 article [sw28074]
• Algorithm for Simulating Quantiles in Multiscale Change-Point Segmentation Problem. It is a linear algorithm ... statistics under hull hypothesis for multiscale change-point segmentation. The reference is in preparation...

• nmcdr

• Referenced in 1 article [sw20745]
• package nmcdr: Non-parametric Multiple Change-Points Detection...

• blockseg

• Referenced in 1 article [sw20240]
• package blockseg: Two Dimensional Change-Points Detection. Segments a matrix in blocks with constant values...

• rbrothers

• Referenced in 1 article [sw30325]
• rbrothers: R package for Bayesian multiple change-point recombination detection. R package rbrothers provides easy...

• trendsegmentR

• Referenced in 1 article [sw29264]
• Performs the detection of point anomalies and linear trend changes for univariate time series ... estimated number and locations of the change-points are returned with the piecewise-linear estimator...

• CauchyCP

• Referenced in 1 article [sw38234]
• Proportional Hazards. An omnibus test of change-point Cox regression models to improve the statistical...

• StepBrothers

• Referenced in 1 article [sw34333]
• evolutionarily related. Of these methods, Markov change-point models currently provide the most coherent framework...

• Chapydette

• Referenced in 0 articles [sw34592]
• fast Cython implementations of kernel-based change-point detection algorithms and feature generation methods. There ... currently two algorithms implemented: The kernel change-point algorithm of Harchaoui and Cappé (2007), which ... sequence of observations. The change-point analysis algorithm of Harchaoui, Bach, and Moulines (2009), which...

• FlowScreen

• Referenced in 0 articles [sw15556]
• time series for temporal trends and change-points. This package has been primarily developed ... produce summary screening plots showing change-points and significant temporal trends for high flow...

• SimTensor

• Referenced in 0 articles [sw18210]
• facility to simulate different kinds of change-points and inject various types of anomalies...

• Matlab

• Referenced in 13460 articles [sw00558]
• MATLAB® is a high-level language and interactive...

• R

• Referenced in 9810 articles [sw00771]
• R is a language and environment for statistical...

• S-PLUS

• Referenced in 615 articles [sw02892]
• S-PLUS is a powerful environment for statistical...

• UCI-ml

• Referenced in 3379 articles [sw04074]
• UC Irvine Machine Learning Repository. We currently maintain...