Given a vector of counts for different categories in 1...n and a prior, simulate a Dirichlet random vector
Given a vector of counts for different categories in 1...n and a prior, simulate a Dirichlet random vector
Takes a vector of counts for 1:n collections, and returns a Dirichlet random variable generated by adding the prior to each collection value, and simulating an alpha from a gamma distribution with this shape parameter.
dirch_from_counts(C, lambda)
Arguments
C: a vector giving counts of categories
lambda: priors for the categories
Details
The categories are labeled in C from 1 up to n. n is the length of lambda, which is a vector of priors. Note that all elements of lambda