dirch_from_allocations {rubias} | R Documentation |
Given a vector of different categories in 1...n and a prior, simulate a Dirichlet random vector
Description
Takes a vector of collection indices to which individuals (vector elements) were assigned, and returns a Dirichlet random variable generated by adding the prior to the sum of each collection's occurrences, and simulating an alpha from a gamma distribution with this shape parameter.
Usage
dirch_from_allocations(C, lambda)
Arguments
C |
a vector giving different categories of individual (not counts of categories - untabulated) |
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]