apply.local.ml

Same as <code>ydens</code> in apply.ic.fit.

dens

A model specification, in case <code>predictors</code> is NOT
specified.  Options include "indep" and "indep.mono".

ml.meth

A character vector of predictors of the form "c1", "c2"
for main effects, or "c12" for an interaction.

predictors

The kind of model design; Rasch or not Rasch

design.style


Fit a previously selected log-linear model at each covariate vector.


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.

apply.local.ml: Fit LLLMs

Description

Usage

Arguments

Value

Details