R Observatory: Metrics for SparseMSE version 2.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SparseMSE

2.0.1Package record

'Multiple Systems Estimation for Sparse Capture Data'

0packages depend

2.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Lax ChanCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("SparseMSE", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-sparsemse

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-SparseMSE

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-SparseMSE

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Lax Chan <laxchan77@gmail.com>’

The Description field contains
  W., Vincent, K (2019) <arXiv:1902.05156>. This package explicitly
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 1.2 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-09-08
ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
NOTE11 OK, 2 NOTE2026-05-12
WARNING11 OK, 1 NOTE, 1 WARNING2026-05-11
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 25
Examples that run: 100%9 run in a plain check
Exported functions with examples: 53%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 52%

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #21,786 · ~6/day · ~181/mo

Releases R versions

Daily download trend is not available in this view yet.

22830 days

61590 days

2.2K1 year

Compare downloads with other packages →

Also on67 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing SparseMSE adds 2 packages (1 with compiled code, 552 KB of source tarballs). Heaviest: lpSolve 457 KB, Rcapture 95 KB.

Depends (1)

R >= 3.5.0

Imports (2)

lpSolve Rcapture

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Lax Chan

Author, Maintainer since 1.2.1 (2019)

Bernard Silverman

Author

Kyle Vincent

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
2.0.1Latest
record
2019-12-15 · current release · diff ↗
2.0.0
record
2019-12-01 · diff ↗ ·
added 8 exports
BICandbootstrapsim, bcaconfvalues, checkthetasubset, count_triples, estimatepopulation.0, ordercaptures, removenoninformativelists, subsetsearch
R
R 3.6.0 released · 2019-04-26
1.2.1
record
2019-03-04
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2019-03-04
Total releases: 3 / 7 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 2.0 KB / 8 files
Download size: 29 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SparseMSE")

Format

Chan, L., Silverman, B., & Vincent, K. (2019). SparseMSE: 'Multiple Systems Estimation for Sparse Capture Data' (Version 2.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SparseMSE

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SparseMSE version 2.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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