Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 28 found.
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getLikelihood-methods (Package: Segmentor3IsBack) : ~~ Methods for Function code{getLikelihood

~~ Methods for function getLikelihood ~~
● Data Source: CranContrib
● Keywords: likelihood, methods
● Alias: getLikelihood,Segmentor-method, getLikelihood-methods
● 0 images

Segmentor3IsBack-package (Package: Segmentor3IsBack) :

Exact change-point algorithm for the segmentation of profiles according to the log-likelihood criterion for 4 possible models: Poisson, Gaussian homoscedastic, negative binomial, Gaussian with constant mean.
● Data Source: CranContrib
● Keywords: changepoint, counts, exact, segmentation, selection
● Alias: Segmentor3IsBack, Segmentor3IsBack-package
1 images

getMean (Package: Segmentor3IsBack) : Generic function

Generic function
● Data Source: CranContrib
● Keywords: Mean, methods
● Alias: getMean
● 0 images

getPos-methods (Package: Segmentor3IsBack) : ~~ Methods for Function code{getPos

~~ Methods for function getPos ~~
● Data Source: CranContrib
● Keywords: Pos, methods
● Alias: getPos,Segmentor-method, getPos-methods
● 0 images

Segmentor-class (Package: Segmentor3IsBack) : Class "Segmentor"

A class for Segmentation objects.
● Data Source: CranContrib
● Keywords: Segmentor, classes
● Alias: Segmentor-class, Segmentor-method, show, Segmentor-method,getBreaks, Segmentor-method,getCompression, Segmentor-method,getCost, Segmentor-method,getData, Segmentor-method,getKmax, Segmentor-method,getLikelihood, Segmentor-method,getMean, Segmentor-method,getModel, Segmentor-method,getOverdispersion, Segmentor-method,getParamters, Segmentor-method,getPos
● 0 images

BestSegmentation (Package: Segmentor3IsBack) : BestSegmentation

This function is used to compute the cost of the best segmentation in K segments given the position of a change-point, and to return the optimal segmenation having a change-point at location t.
● Data Source: CranContrib
● Keywords: PDPA, R-package, Segmentation
● Alias: BestSegmentation
1 images

getCost (Package: Segmentor3IsBack) : Generic function

Generic function
● Data Source: CranContrib
● Keywords: Cost, changepoints, methods
● Alias: getCost
● 0 images

getParameters-methods (Package: Segmentor3IsBack) : ~~ Methods for Function code{getParameters

~~ Methods for function getParameters ~~
● Data Source: CranContrib
● Keywords: methods, parameters
● Alias: getParameters,Segmentor-method, getParameters-methods
● 0 images

getModel-methods (Package: Segmentor3IsBack) : ~~ Methods for Function code{getModel

~~ Methods for function getModel ~~
● Data Source: CranContrib
● Keywords: Model, methods
● Alias: getModel,Segmentor-method, getModel-methods
● 0 images

Segmentor (Package: Segmentor3IsBack) : Segmentor

The functions are used for change-point problems. Given a loss function (Poisson, Normal homoscedastic, Negative Binomial or Normal Heteroscedastic (with given constant mean)), the function Segmentor estimates the optimal segmentation with respect to the log-likelihood. The Segmentor gives estimates of the breakpoint locations as well as the loss function parameter of each segment.
● Data Source: CranContrib
● Keywords: PDPA, R-package, Segmentation
● Alias: Segmentor, Segmentor.default, print.Segmentor
● 0 images