extract.CI

The object that is output by a <code>lllcrc</code> or <code>vgam.crc</code>.

probs

The name of one continuous covariate to serve as the primary
index of the ordered set of confidence intervals (one CI for each covariate
vector)

cont.var

A set of categorical covariate names.  CIs will be produced
only for covariate vectors that have a one in every position corresponding
to the elements of <code>selection</code>.

selection


Given bootstrap output of functions such as <code>lllcrc</code> or
<code>vgam.crc</code>, produce confidence intervals corresponding to a selection
of covariate vectors.


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.

extract.CI: Use bootstrap output to get CI

Description

Usage

Arguments

Value