SparseMSE: 'Multiple Systems Estimation for Sparse Capture Data'

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) <arXiv:1902.05156>. 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.

Version: 2.0.1
Depends: R (≥ 3.5.0)
Imports: lpSolve, Rcapture
Suggests: knitr, rmarkdown
Published: 2019-12-15
Author: Lax Chan [aut, cre], Bernard Silverman [aut], Kyle Vincent [aut]
Maintainer: Lax Chan <laxchan77 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://arxiv.org/abs/1902.05156
NeedsCompilation: no
CRAN checks: SparseMSE results

Downloads:

Reference manual: SparseMSE.pdf
Package source: SparseMSE_2.0.1.tar.gz
Windows binaries: r-devel: SparseMSE_2.0.1.zip, r-devel-gcc8: SparseMSE_2.0.1.zip, r-release: SparseMSE_2.0.1.zip, r-oldrel: SparseMSE_2.0.1.zip
OS X binaries: r-release: SparseMSE_2.0.1.tgz, r-oldrel: SparseMSE_2.0.1.tgz
Old sources: SparseMSE archive

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