llcrc.flat.boots

A list of control arguments to direct the bootstrap
procedure.  See example.

boot.list


For a log-linear model, bootstrap estimates of the corresponding estimates
in a way that incorporates the uncertainty due to model selection.


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.

llcrc.flat.boots: Bootstrapping LLMs

Description

Usage

Arguments

Value

Details

References