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EBS (version 3.1)

Exact Bayesian Segmentation

Description

Performs an exact Bayesian segmentation on data and returns the probabilities of breakpoints, an ICL criteria, comparison of change-point location, etc.

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Version

Install

install.packages('EBS')

Version

3.1

License

GPL (>= 2)

Maintainer

Last Published

June 22nd, 2016

Functions in EBS (3.1)

CompCredibility

Comparison of two profiles with credibility intervals
Col

Generic function
EBSBIC

Model Selection by BIC Criterion
EBS-package

Contains funcions that run exact bayesian changepoint methods and return changepoint probabilities and ICL criteria for model selection
Data

Generic function
CardMK

Number of segmentations in K segments
EBS-class

Class "EBS"
Col-methods

~~ Methods for Function Col ~~
CardE0

Prior probability of E0
Data-methods

~~ Methods for Function Data ~~
EBSPrior

Matrix of prior values for each interval
EBSPostK

Posterior probabilities of the number of segments
EBSPriorProfiles

Matrix of prior values for each interval
EBSPlotProba

Plot distribution of changepoints of one profile
EBSDistrib

Probability of kth changepoint in a segmentation in K segments
EBSegmentation

Exact Bayesian Segmentation for Poisson, Negative Binomial and Normal models
EBSICL

Model Selection by Integrated Completed Likelihood criterion
EBSICLProfiles

Model Selection by Integrated Completed Likelihood criterion
EBSPlotProbaProfiles

Plot distribution of changepoints of each profile
EBSProfiles-class

Class "EBSProfiles"
EBSProfiles

Exact Bayesian Segmentation for multiple profiles
getHyperParameters

Generic function
getData

Generic function
getKmax-methods

~~ Methods for Function getKmax ~~
getCol-methods

~~ Methods for Function getCol ~~
EBSStatistic

Statistic for Profile Comparison
getData-methods

~~ Methods for Function getData ~~
getHyperParameters-methods

~~ Methods for Function getHyperParameters ~~
getCol

Generic function
GetCondition

Segmentation information for one profile out of the set
getModel-methods

~~ Methods for Function getModel ~~
getModel

Generic function
getLength-methods

~~ Methods for Function getLength ~~
getOverdispersion

Generic function
getOverdispersion-methods

~~ Methods for Function getOverdispersion ~~
getP-methods

~~ Methods for Function getP ~~
getLength

Generic function
getLi-methods

~~ Methods for Function getLi ~~
getLi

Generic function
getKmax

Generic function
getPriorm

Generic function
getVariance-methods

~~ Methods for Function getVariance ~~
HyperParameters

Generic function
Kmax

Generic function
Kmax-methods

~~ Methods for Function Kmax ~~
Length-methods

~~ Methods for Function Length ~~
getVariance

Generic function
HyperParameters-methods

~~ Methods for Function HyperParameters ~~
getP

Generic function
getPriorm-methods

~~ Methods for Function getPriorm ~~
Li-methods

~~ Methods for Function Li ~~
Length

Generic function
Overdispersion

Generic function
Model

Generic function
PriorDistrib

Prior distribution of change-point when uniform prior on segmentation
NbConditions-methods

~~ Methods for Function NbConditions in Package EBS ~~
Priorm-methods

~~ Methods for Function Priorm ~~
Priorm

Generic function
Li

Generic function
matProba-methods

~~ Methods for Function matProba ~~
Variance-methods

~~ Methods for Function Variance ~~
Variance

Generic function
NbConditions

Generic function
matProba

Generic function
Overdispersion-methods

~~ Methods for Function Overdispersion ~~
Model-methods

~~ Methods for Function Model ~~
show-methods

~~ Methods for Function show in Package methods ~~
TruncPois

Truncated Poisson distribution