simBernCovar: Simulates a block mixture of Bernoulli covariates.
In norbertbin/SpecClustPack: Spectral Clustering for Network Analysis
Description
Usage
Arguments
Value
Examples
Description
Simulates a block mixture of Bernoulli covariates.
Usage
1
simBernCovar(covProbMat, nMembers)
Arguments
covProbMat
A matrix with each row corresponding to a block and
each column corresponding to a covariate. The values are Bernoulli
probabilities.
nMembers
The number of nodes in each block.
Value
A matrix of Bernoulli covariates with a block probability structure.
Examples
1
2
3
covProbMat = matrix(c(.8, .2, .2, .8), nrow = 2)
nMembers = c(50, 50)
simBernCovar(covProbMat, nMembers)
norbertbin/SpecClustPack documentation built on May 23, 2019, 9:32 p.m.
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Description Usage Arguments Value Examples
Description
Simulates a block mixture of Bernoulli covariates.
Usage
1 | simBernCovar(covProbMat, nMembers)
|
Arguments
covProbMat |
A matrix with each row corresponding to a block and each column corresponding to a covariate. The values are Bernoulli probabilities. |
nMembers |
The number of nodes in each block. |
Value
A matrix of Bernoulli covariates with a block probability structure.
Examples
1 2 3 | covProbMat = matrix(c(.8, .2, .2, .8), nrow = 2)
nMembers = c(50, 50)
simBernCovar(covProbMat, nMembers)
|
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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