string.to.array

densi

Logical: if TRUE, the square of the number of captures is
included in the design matrix as the column <code>ck2</code>

rasch


Given the output of <code>pop.to.counts</code>, i.e., a 1-row dataframe with as
many columns as there are observable capture patterns, create a design
matrix for log-linear modeling


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.

string.to.array: Put LLM vector into a LLM design matrix

Description

Usage

Arguments

Value