MakeCompMatrix

Prior hyperparameter of the Dirichlet distribution.

delta

The <code>2^k</code> matrix of list intersection counts.

The vector of possible values for the missing cell.

Nmissing

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.

likelihood

model

marginal

Bayesian

averaging

Performs Bayesian model averaging for capture-recapture. This includes code to stratify records, check the strata for suitable overlap to be used for capture-recapture, and some functions to plot the estimated population size.

Olivier Binette

Capture-Recapture Estimation using Bayesian Model Averaging

James Johndrow

Kristian Lum

Patrick Ball

MakeCompMatrix function

<dl><dt>p</dt>
<dd>Number of lists</dd>
<dt>delta</dt>
<dd>Prior hyperparameter of the Dirichlet distribution.</dd>
<dt>Y</dt>
<dd>The <code>2^k</code> matrix of list intersection counts.</dd>
<dt>Nmissing</dt>
<dd>The vector of possible values for the missing cell.</dd></dl>

Arguments

James Johndrow <a href="/link/james.johndrow%40gmail.com?package=dga&version=2.0.1" data-mini-rdoc="dga::james.johndrow@gmail.com">james.johndrow@gmail.com</a> and Kristian Lum
<a href="/link/kl%40hrdag.org?package=dga&version=2.0.1" data-mini-rdoc="dga::kl@hrdag.org">kl@hrdag.org</a>

Author

Component-wise Matrix of Log Marginal Likelihoods — MakeCompMatrix

<dl>

<dt>p</dt>
<dd>Number of lists</dd>


<dt>delta</dt>
<dd>Prior hyperparameter of the Dirichlet distribution.</dd>


<dt>Y</dt>
<dd>The <code>2^k</code> matrix of list intersection counts.</dd>


<dt>Nmissing</dt>
<dd>The vector of possible values for the missing cell.</dd>

</dl>

James Johndrow <a href='mailto:james.johndrow@gmail.com'>james.johndrow@gmail.com</a> and Kristian Lum
<a href='mailto:kl@hrdag.org'>kl@hrdag.org</a>

MakeCompMatrix: Component-wise Matrix of Log Marginal Likelihoods

Description

Usage

Value

Arguments

Author