removenoninformativelists: Remove non-informative list

In SparseMSE: 'Multiple Systems Estimation for Sparse Capture Data'

Description

The routine cleans up the data set by removing any lists that contain no data, any lists which contain all the observed data, and any list whose results duplicate those of another list. If as a result the original data set has no list left, it returns a matrix with the value of the total count.

Usage

removenoninformativelists(zdat)

Arguments

zdat	Data matrix with t+1 columns. The first t columns, each corresponding to a particular list, are 0s and 1s defining the capture histories observed. The last column is the count of cases with that particular capture history.

Value

data matrix that contains no duplicate lists, no lists with no data, and no lists that contain all the observed data. If all lists are removed, the total count is returned.

SparseMSE documentation built on Dec. 26, 2019, 5:06 p.m.