• 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...