ic.all

A list of character vectors, with each vector containing
column names from the associated log-linear design matrix.
For example, see the output of <code><a rd-options="" href="/link/make.hierarchical.term.sets?package=lllcrc&version=1.2" data-mini-rdoc="lllcrc::make.hierarchical.term.sets">make.hierarchical.term.sets</a>()</code>.

models

ddat

The information criterion, such as AIC, AICc, BIC, or BICpi.

Logical: TRUE means that beta0 will be adjusted so that
the log-linear model corresponds to cell probabilities instead of expected
cell counts.

normalized


Given several sets of log-linear terms, compute the IC corresponding to each
model.


Applies local log-linear capture-recapture models (LLLMs) for
closed populations, as described in the doctoral thesis of Zachary Kurtz.
The method is relevant when there are 3-5 capture occasions, with auxiliary
covariates available for all capture occasions.  As part of estimating the
number of missing population units, the method estimates the "rate of
missingness" as it varies over the covariate space.  In addition,
user-friendly functions are provided to recreate (approximately) the method
of Zwane and van der Heijden (2004), which applied the VGAM package
in a way that is closely related to LLLMs.

ic.all: Compute an IC for several LLMs

Description

Usage

Arguments

Value