Other packages > Find by keyword >

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]
All associated links for this package
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 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:26), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA