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SparseMSE  

'Multiple Systems Estimation for Sparse Capture Data'
View on CRAN: Click here


Download and install SparseMSE package within the R console
Install from CRAN:
install.packages("SparseMSE")

Install from Github:
library("remotes")
install_github("cran/SparseMSE")

Install by package version:
library("remotes")
install_version("SparseMSE", "2.0.1")



Attach the package and use:
library("SparseMSE")
Maintained by
Lax Chan
[Scholar Profile | Author Map]
First Published: 2019-03-04
Latest Update: 2019-12-15
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) <doi:10.48550/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.
How to cite:
Lax Chan (2019). SparseMSE: 'Multiple Systems Estimation for Sparse Capture Data'. R package version 2.0.1, https://cran.r-project.org/web/packages/SparseMSE. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.2.1 (2019-03-04 17:40), 2.0.0 (2019-12-01 22:20)
Other packages that cited SparseMSE R package
View SparseMSE citation profile
Other R packages that SparseMSE depends, imports, suggests or enhances
Complete documentation for SparseMSE
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