perfectSimulation: perfectSimulation
In kojikoji/nbcf: Change point detection for time course multi negative binomial observation
Description
Usage
Arguments
Details
Value
Author(s)
Description
Conduct perfectsimulation for change point
Usage
1
perfectSimulation(lqt, lpst, lambda, sim.iter = 100)
Arguments
lqt
Numeric vector, Each value represents Yt:n probability
lpst
Numeric matrix, Log probability for each intervals
lambda
Numeric vector, Each value represents Yt:n probability
sim.iter
Integer, Iteration of simulation
Details
This function samples change points using perfectsimulation, which is a machine learning techunique.
Value
change.points.list List, list of numeric vector of change points at each simulation
Author(s)
Yasuhiro Kojima
kojikoji/nbcf documentation built on June 16, 2019, 6:08 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Conduct perfectsimulation for change point
Usage
1 | perfectSimulation(lqt, lpst, lambda, sim.iter = 100)
|
Arguments
lqt |
Numeric vector, Each value represents Yt:n probability |
lpst |
Numeric matrix, Log probability for each intervals |
lambda |
Numeric vector, Each value represents Yt:n probability |
sim.iter |
Integer, Iteration of simulation |
Details
This function samples change points using perfectsimulation, which is a machine learning techunique.
Value
change.points.list List, list of numeric vector of change points at each simulation
Author(s)
Yasuhiro Kojima
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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