sim.data: Simulated time course negative binomial data
In kojikoji/nbcf: Change point detection for time course multi negative binomial observation
Description
Usage
Format
Examples
Description
This data contains 6 variate time course negative binomial data.
elemnts of t.vec are 0.01, 0.02, ..., 1.0, and includes two change points,
where each variate can change the parameter p.
Usage
1
Format
An object of class list of length 2.
Examples
1
2
3
4
5
6
7
8
9
sim.data <- data(sim.data)
nbcf.obj <- loadData(sim.data$count.mat, sim.data$t)
nbcf.obj <- setupNegativeBinomDict(nbcf.obj)
nbcf.obj <- calculateQt(nbcf.obj, lambda= 0.01, alpha=1.0, beta=1.0)
nbcf.obj <- perfectSimulation(nbcf.obj)
nbcf.obj <- estimateMap(nbcf.obj)
nbcf.obj <- detectVariate(nbcf.obj)
hist(nbcf.obj@change.point)
nbcf.obj@change.variate
kojikoji/nbcf documentation built on June 16, 2019, 6:08 p.m.
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Description Usage Format Examples
Description
This data contains 6 variate time course negative binomial data. elemnts of t.vec are 0.01, 0.02, ..., 1.0, and includes two change points, where each variate can change the parameter p.
Usage
1 |
Format
An object of class list of length 2.
Examples
1 2 3 4 5 6 7 8 9 | sim.data <- data(sim.data)
nbcf.obj <- loadData(sim.data$count.mat, sim.data$t)
nbcf.obj <- setupNegativeBinomDict(nbcf.obj)
nbcf.obj <- calculateQt(nbcf.obj, lambda= 0.01, alpha=1.0, beta=1.0)
nbcf.obj <- perfectSimulation(nbcf.obj)
nbcf.obj <- estimateMap(nbcf.obj)
nbcf.obj <- detectVariate(nbcf.obj)
hist(nbcf.obj@change.point)
nbcf.obj@change.variate
|
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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