R: 'Multiple Systems Estimation for Sparse Capture Data'

# 'Multiple Systems Estimation for Sparse Capture Data'

## Documentation for package ‘SparseMSE’ version 2.0.1

- DESCRIPTION file.

## Help Pages

Artificial_3 | Artificial data set to demonstrate possible instabilities
bcaconfvalues | BCa confidence intervals
BICandbootstrapsim | Comparison of BIC approach and BCa approach
buildmodel | Build model for multiple systems estimation
buildmodelmatrix | Build the model matrix based on particular data, as required to check for identifiability and existence of the maximum likelihood estimate
checkallmodels | Check all possible models for existence and identifiability
checkident | Check a model for the existence and identifiability of the maximum likelihood estimate
checkthetasubset | Check a subset of the parameter set theta
count_triples | Count number of triples of overlapping lists
estimatepopulation | Bootstrapping to evaluate confidence intervals using BCa methods
estimatepopulation.0 | Estimate the total population including the dark figure. If the user wishes to find bootstrap confidence intervals then the routine 'estimatepopulation' should be used instead.
investigateAIC | Plot of simulation study
modelfit | Fit a specified model to multiple systems estimation data
Ned | The Netherlands data
Ned_5 | Netherlands data five list version
NewOrl | New Orleans data
NewOrl_5 | New Orleans data five list version
ordercaptures | Order capture histories
removenoninformativelists | Remove non-informative list
stepwisefit | Stepwise fit using Poisson p-values.
subsetsearch | Search subsets for a property which is inherited in a particular way
tidylists | Produce a data matrix with a unique row for each capture history
UKdat | UK data
UKdat_5 | UK data five list version
Western | Victims related to sex trafficking in a U.S. Western site