MakeCompMatrix: Component-wise Matrix of Log Marginal Likelihoods

In dga: Capture-Recapture Estimation using Bayesian Model Averaging

Description

Calls CompLogML to create a matrix of number of possible components by length(Nmissing) log marginal likelihoods. Calculates the log marginal likehood of each possible marginal table for every value of Nmissing.

Usage

MakeCompMatrix(p, delta, Y, Nmissing)

Arguments

p	Number of lists
delta	Prior hyperparameter of the Dirichlet distribution.
Y	The 2^k matrix of list intersection counts.
Nmissing	The vector of possible values for the missing cell.

Value

A matrix of log marginal likelihoods.

Author(s)

James Johndrow [e-mail] and Kristian Lum [e-mail]

dga documentation built on May 10, 2021, 5:06 p.m.