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) a for
    closed populations, as described in the ongoing doctoral thesis work of
    Zachary Kurtz in the department of statistics at Carnegie Mellon
    University.  The method is relevant when there are 3-4 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