Detects multiple changepoints in uni- or multivariate time series data. The algorithm is based on Bayesian methods and detects changes on-line; i.e. the model updates with every observation rather than relying on retrospective segmentation. However, the user may choose to use the algorithm off- or on-line.

Author | Zachary Zanussi <zachary9506@gmail.com> |

Date of publication | 2016-08-23 20:00:17 |

Maintainer | Zachary Zanussi <zachary9506@gmail.com> |

License | GPL-3 |

Version | 1.0 |

**const_hazard:** Constant Hazard Function

**findCP:** Wisely Pick Changepoints

**offlineCPD:** Offline Bayesian Changepoint Detection

**onlineCPD:** Online Changepoint Detection

**onlineCPD-package:** onlineCPD

**plot.oCPD:** Plotting onlineCPD results

**print.oCPD:** Summarizing oCPD results

**studentpdf:** Student Probability Density Function

**WalBelSentiment:** Sentiment and Emotion Annotated Twitter Data from the Wales...

onlineCPD

onlineCPD/NAMESPACE

onlineCPD/data

onlineCPD/data/WalBelSentiment.rda

onlineCPD/data/WalBelTimes.rda

onlineCPD/data/WalBelEmotions.rda

onlineCPD/R

onlineCPD/R/str.oCPD.R
onlineCPD/R/onlineCPD-internal.R
onlineCPD/R/studentpdf.R
onlineCPD/R/findCP.R
onlineCPD/R/offlineCPD.R
onlineCPD/R/onlineCPD.R
onlineCPD/R/plot.oCPD.R
onlineCPD/R/const_hazard.R
onlineCPD/R/print.oCPD.R
onlineCPD/R/summary.oCPD.R
onlineCPD/MD5

onlineCPD/DESCRIPTION

onlineCPD/man

onlineCPD/man/findCP.Rd
onlineCPD/man/studentpdf.Rd
onlineCPD/man/plot.oCPD.Rd
onlineCPD/man/print.oCPD.Rd
onlineCPD/man/WalBelSentiment.Rd
onlineCPD/man/offlineCPD.Rd
onlineCPD/man/const_hazard.Rd
onlineCPD/man/onlineCPD.Rd
onlineCPD/man/onlineCPD-package.Rd
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