dirch_from_counts {rubias} | R Documentation |
Given a vector of counts for different categories in 1...n and a prior, simulate a Dirichlet random vector
Description
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.
Usage
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
must be strictly greater than 0.
[Package rubias version 0.3.4 Index]