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SparseMSE (version 2.0.1)

'Multiple Systems Estimation for Sparse Capture Data'

Description

Implements the routines and algorithms developed and analysed in "Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists" Chan, L, Silverman, B. W., Vincent, K (2019) . This package explicitly handles situations where there are pairs of lists which have no observed individuals in common. It deals correctly with parameters whose estimated values can be considered as being negative infinity. It also addresses other possible issues of non-existence and non-identifiability of maximum likelihood estimates.

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Version

Install

install.packages('SparseMSE')

Monthly Downloads

144

Version

2.0.1

License

GPL (>= 2)

Maintainer

Lax Chan

Last Published

December 15th, 2019

Functions in SparseMSE (2.0.1)

checkallmodels

Check all possible models for existence and identifiability
count_triples

Count number of triples of overlapping lists
subsetsearch

Search subsets for a property which is inherited in a particular way
investigateAIC

Plot of simulation study
tidylists

Produce a data matrix with a unique row for each capture history
estimatepopulation.0

checkident

Check a model for the existence and identifiability of the maximum likelihood estimate
checkthetasubset

Check a subset of the parameter set theta
BICandbootstrapsim

Comparison of BIC approach and BCa approach
stepwisefit

Stepwise fit using Poisson p-values.
ordercaptures

Order capture histories
removenoninformativelists

Remove non-informative list
modelfit

Fit a specified model to multiple systems estimation data
buildmodel

Build model for multiple systems estimation
estimatepopulation

Bootstrapping to evaluate confidence intervals using BCa methods
buildmodelmatrix

Build the model matrix based on particular data, as required to check for identifiability and existence of the maximum likelihood estimate
bcaconfvalues

BCa confidence intervals
UKdat

UK data
NewOrl

New Orleans data
Ned

The Netherlands data
Artificial_3

Artificial data set to demonstrate possible instabilities
NewOrl_5

New Orleans data five list version
UKdat_5

UK data five list version
Ned_5

Netherlands data five list version
Western

Victims related to sex trafficking in a U.S. Western site