apply.local.ml

Same as <code>ydens</code> in apply.ic.fit.

dens

A model specification, in case
  <code>predictors</code> is NOT specified.  Options include
  "indep" and "indep.mono".

ml.meth

A character vector of predictors of the
  form "c1", "c2" for main effects, or "c12" for an
  interaction.

predictors

The kind of model design; Rasch or
  not Rasch

design.style

Fit a previously selected log-linear model at each
covariate vector.

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.

apply.local.ml: Fit LLLMs

Description

Usage

Arguments

Value

Details