pois.simdata: Generate Poisson data
In drisso/learn2count: Structure Learning for Count Data
pois.simdata R Documentation
Generate Poisson data
Description
Generate data matrix (nxp) under Poisson assumption based on Karlis (or LPGM. 2013) with adjancency matrix B,
Usage
pois.simdata(n, p, B, lambda, lambda.c)
Arguments
n
number of samples
p
number of variables (nodes)
B
adjacency matrix
lambda
mean of Poisson
lambda.c
mean of noise
drisso/learn2count documentation built on March 25, 2023, 4:21 p.m.
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| pois.simdata | R Documentation |
Generate Poisson data
Description
Generate data matrix (nxp) under Poisson assumption based on Karlis (or LPGM. 2013) with adjancency matrix B,
Usage
pois.simdata(n, p, B, lambda, lambda.c)
Arguments
n |
number of samples |
p |
number of variables (nodes) |
B |
adjacency matrix |
lambda |
mean of Poisson |
lambda.c |
mean of noise |
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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