• wbs

  • Referenced in 67 articles [sw11110]
  • Wild binary segmentation for multiple change-point detection. We propose a new technique, called wild ... number and locations of multiple change-points in data. We assume that the number...
  • ecp

  • Referenced in 17 articles [sw21075]
  • package ecp: Non-Parametric Multiple Change-Point Analysis of Multivariate Data. Implements various procedures ... finding multiple change-points. Two methods make use of dynamic programming and probabilistic pruning, with...
  • FDRSeg

  • Referenced in 14 articles [sw16730]
  • multiscale change-point segmentation. Fast multiple change-point segmentation methods, which additionally provide faithful statistical...
  • factorcpt

  • Referenced in 8 articles [sw18260]
  • Simultaneous multiple change-point and factor analysis for high-dimensional time series. We propose ... dimensional time series factor models with multiple change-points in their second-order structure...
  • breakfast

  • Referenced in 6 articles [sw22395]
  • package breakfast: Multiple Change-Point Detection and Segmentation. The breakfast package performs multiple change-point...
  • wbsts

  • Referenced in 3 articles [sw19367]
  • Multiple change-point detection for non-stationary time series using wild binary segmentation. We propose...
  • gfpop

  • Referenced in 2 articles [sw32351]
  • Graph-Constrained Change-point Detection. In a world with data that change rapidly and abruptly ... important to detect those changes accurately. In this paper we describe an R package implementing ... penalised maximum likelihood inference of constrained multiple change-point models. This algorithm can be used...
  • cBrother

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

  • Referenced in 1 article [sw33923]
  • package eNchange: Ensemble Methods for Multiple Change-Point Detection. Implements a segmentation algorithm for multiple...
  • IDetect

  • Referenced in 1 article [sw28005]
  • package IDetect: Isolate-Detect Methodology for Multiple Change-Point Detection. Provides efficient implementation ... number and location of multiple change-points in one-dimensional data sequences from the ”deterministic...
  • VIFCP

  • Referenced in 1 article [sw16253]
  • support the paper ’A sequential multiple change-point detection procedure via VIF regression’ (Accepted...
  • nmcdr

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

  • Referenced in 1 article [sw26719]
  • methods include binary segmentation for multiple change-point estimation. For estimating each individual change-point...
  • rbrothers

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

  • Referenced in 1 article [sw34333]
  • evolutionarily related. Of these methods, Markov change-point models currently provide the most coherent framework ... recombination events and generalizes to incorporate multiple recombinant sequences. This generalization answers important questions with...
  • Matlab

  • Referenced in 12821 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 8984 articles [sw00771]
  • R is a language and environment for statistical...
  • S-PLUS

  • Referenced in 604 articles [sw02892]
  • S-PLUS is a powerful environment for statistical...
  • UCI-ml

  • Referenced in 3184 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • Bioconductor

  • Referenced in 309 articles [sw04205]
  • Bioconductor provides tools for the analysis and comprehension...