'Multiple Systems Estimation for Sparse Capture Data'

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Documentation for package ‘SparseMSE’ version 2.0.1

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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