rSDM: Random draw for probability vector under sparse Dirichlet...

Description Usage Examples

Description

Random draw for probability vector under sparse Dirichlet mixture model

Usage

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rSDM(alpha, beta, logscale = FALSE, allout = FALSE)

Examples

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K = 5 # number of categories
a = rep(1.0, K) # Dirichlet shape parameter vector
b = 10.0 # SDM parameter
rSDM(a, b) # single draw from prior
x = rbinom(K, 10, 0.3) # random count data
rSDM(a+x, b) # single draw from posterior

mheiner/sparseProbVec documentation built on May 19, 2019, 6:22 p.m.