nbinom.Simdata: Generate negatibe binomial (NB) data
In drisso/learn2count: Structure Learning for Count Data
nbinom.Simdata R Documentation
Generate negatibe binomial (NB) data
Description
Generatedata matrix (nxp) under NB assumption based on Karlis (or LPGM. 2013) with adjancency matrix B.
Usage
nbinom.Simdata(n, p, B, mu, mu.nois, theta)
Arguments
n
number of samples
p
number of variables (nodes)
B
adjacency matrix
mu
mean of negative binomial
mu.nois
mean of noise
theta
dispersion parameter of negative binomial, where var=\mu+\mu^2/theta
drisso/learn2count documentation built on July 15, 2024, 11:13 p.m.
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| nbinom.Simdata | R Documentation |
Generate negatibe binomial (NB) data
Description
Generatedata matrix (nxp) under NB assumption based on Karlis (or LPGM. 2013) with adjancency matrix B.
Usage
nbinom.Simdata(n, p, B, mu, mu.nois, theta)
Arguments
n |
number of samples |
p |
number of variables (nodes) |
B |
adjacency matrix |
mu |
mean of negative binomial |
mu.nois |
mean of noise |
theta |
dispersion parameter of negative binomial, where |
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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