zglm

The columns of the standard design matrix to include in
the model.  For example, "c1", "c2" for main effects, and "c12" for
interactions.

predictors

A design matrix with cell counts included

data

Logical: If TRUE, include a normalization step after
coefficient estimation, which resets the value of the intercept so that the
sum of predicted values is exactly 1

normalized

Controls the precision of the coefficient estimates.  A
higher number is less precise.  1 corresponds to machine epsilon.

precision


A simplified version of <code>glm</code> that does only parameter estimation


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.

zglm: Maximum likelihood for log-linear coefficients

Description

Usage

Arguments

Value

Details