lllcrc: Local Log-linear Models for Capture-Recapture

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.

AuthorZach Kurtz
Date of publication2014-10-06 00:53:14
MaintainerZach Kurtz <zkurtz@gmail.com>
LicenseGPL-2
Version1.2

View on CRAN

Man pages

age.sex.zip: Simulate CRC data with age, sex, and zip code

AICc.vgam: Compute the AICc for a VGAM model

apply.ic.fit: Select an LLLM at each point

apply.local.ml: Fit LLLMs

as.num: Conversion to numeric

captures: Simulating captures

construct.vgam: Make a VGAM model

extract.CI: Use bootstrap output to get CI

flat.IC: Select an LLM

flat.log.linear: Fit an LLM

formatdata: Format the CRC data

french.1: A fake dataset, french.1

get.IC: Compute an information criterion

ic.all: Compute an IC for several LLMs

ic.fit: Select and fit an LLM

ic.wghts: Information criterion model weights

initialize.u.vec: Initialize log-linear parameters

init.pop: Set up a fake population

llcrc.flat.boots: Bootstrapping LLMs

lllcrc: Local log-linear models (LLLMs) for capture-recapture (CRC)

lllcrc.boots: Bootstrap for LLLMs

lllcrc-package: Local Log-linear Models for Capture-Recapture

llm.sim: Simulate basic log-linear CRC experiments

local.ml: Maximum likelihood estimation for fixed LLLMs

make.design.matrix: Construct standard LLM design matrix.

make.hierarchical.term.sets: Generate a universe of hierarchical models.

make.patterns.template: Template for capture-pattern counts

micro.post.stratify: Collapse CRC data through micro post-stratification

odd.evens: Determine the even-ness of capture patterns

patterns: Collapse capture events into capture patterns (strings)

patterns.possible: Generate all observable capture patterns

pirls: Maximum likelihood for log-linear coefficients

plot: Plot LLLMs

plot.llsim: Plot the output of 'llm.sim'

pop.to.counts: Put CRC data into LLM vector

poptop: Simulate a CRC experiment

rates.by.category: Display estimated rates of missingness by category

resample.captures: Tool for bootstrapping

saturated.local: Use odd-even formula to fit saturated LLM

smooth.patterns: Local averaging for LLLMs

stackydens: Stack local capture pattern frequencies for plotting

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

summarize.by.factors: Summarize LLLM by factor

summary: Summary of LLLM or VGAM CRC analysis

vgam.crc: Build a VGAM CRC model

vgam.crc.boots: Bootstrapping for a VGAM CRC model

y.string.to.y.glm: Capture patterns to design matrix

zglm: Maximum likelihood for log-linear coefficients

Files in this package

lllcrc
lllcrc/NAMESPACE
lllcrc/R
lllcrc/R/regression.R lllcrc/R/ic.R lllcrc/R/llsimulate.R lllcrc/R/lllcrc-package.R lllcrc/R/zvgam.R lllcrc/R/boots.R lllcrc/R/graph.R lllcrc/R/local_ml.R lllcrc/R/design.R lllcrc/R/simulate.R lllcrc/R/user.R
lllcrc/MD5
lllcrc/DESCRIPTION
lllcrc/man
lllcrc/man/poptop.Rd lllcrc/man/ic.wghts.Rd lllcrc/man/y.string.to.y.glm.Rd lllcrc/man/smooth.patterns.Rd lllcrc/man/AICc.vgam.Rd lllcrc/man/construct.vgam.Rd lllcrc/man/as.num.Rd lllcrc/man/zglm.Rd lllcrc/man/vgam.crc.boots.Rd lllcrc/man/stackydens.Rd lllcrc/man/ic.all.Rd lllcrc/man/init.pop.Rd lllcrc/man/make.design.matrix.Rd lllcrc/man/resample.captures.Rd lllcrc/man/rates.by.category.Rd lllcrc/man/vgam.crc.Rd lllcrc/man/local.ml.Rd lllcrc/man/llm.sim.Rd lllcrc/man/string.to.array.Rd lllcrc/man/pop.to.counts.Rd lllcrc/man/get.IC.Rd lllcrc/man/extract.CI.Rd lllcrc/man/micro.post.stratify.Rd lllcrc/man/make.patterns.template.Rd lllcrc/man/patterns.possible.Rd lllcrc/man/formatdata.Rd lllcrc/man/saturated.local.Rd lllcrc/man/apply.ic.fit.Rd lllcrc/man/flat.IC.Rd lllcrc/man/plot.llsim.Rd lllcrc/man/lllcrc.Rd lllcrc/man/lllcrc-package.Rd lllcrc/man/make.hierarchical.term.sets.Rd lllcrc/man/lllcrc.boots.Rd lllcrc/man/ic.fit.Rd lllcrc/man/patterns.Rd lllcrc/man/pirls.Rd lllcrc/man/french.1.Rd lllcrc/man/plot.Rd lllcrc/man/summarize.by.factors.Rd lllcrc/man/captures.Rd lllcrc/man/odd.evens.Rd lllcrc/man/flat.log.linear.Rd lllcrc/man/age.sex.zip.Rd lllcrc/man/llcrc.flat.boots.Rd lllcrc/man/summary.Rd lllcrc/man/apply.local.ml.Rd lllcrc/man/initialize.u.vec.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.