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.

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Description file content

Package
SparseMSE
Title
'Multiple Systems Estimation for Sparse Capture Data'
Version
2.0.0
Author
Lax Chan [aut, cre], Bernard Silverman [aut], Kyle Vincent [aut]
Maintainer
Lax Chan
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.
URL
Depends
R (>= 3.5.0)
License
GPL (>= 2)
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
Suggests
knitr, rmarkdown
Imports
lpSolve, Rcapture
NeedsCompilation
no
Packaged
2019-12-01 18:12:02 UTC; Lax
Repository
CRAN
Date/Publication
2019-12-01 21:20:07 UTC

install.packages('SparseMSE')

2.0.0

14 days ago

https://arxiv.org/abs/1902.05156

Lax Chan

GPL (>= 2)

Depends on

R (>= 3.5.0)

Imports

lpSolve, Rcapture

Suggests

knitr, rmarkdown

Discussions