R Observatory: Metrics for LSJM version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LSJM

0.1.0

Estimate Location-Scale Joint Models

0packages depend

159downloads / year

–test coverage

12/12checks pass

Overview

About

Maintained by Léonie CourcoulFirst published 2026-08-041 releasesCRAN page ↗

Estimation of mixed models including a subject-specific variance that can be time- and covariate-dependent or defined for within- and between-visit variability. In the joint modeling framework, the package handles left truncation, interval censoring, and multistate models, and allows a flexible dependence structure between competing events and the longitudinal marker. Estimation is performed in a frequentist framework using the Marquardt-Levenberg algorithm. Methods are described in Courcoul et al. (2025) doi:10.1002/sim.70244 and in Courcoul et al. (2026) doi:10.1002/bimj.70123.

Install

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

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

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

# 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-LSJM

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-LSJM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

12OK

Slowest check: 18.2 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

14

Dependencies · direct

Check history

OK2026-08-05
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 46 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

159

CRAN downloads in the past year

Rank #24,490 · ~0/day · ~13/mo

LSJM Releases R versions

Daily download trend is not available in this view yet.

15930 days

15990 days

1591 year

Compare downloads with other packages →

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (14)

Rcpp marqLevAlgsurvivalflexsurv ggplot2splinesspacefillr survminer foreach doParallel SmoothHazardparallelmvtnorm dplyr

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Léonie Courcoul

Author, Maintainer

Authors (3)

Léonie Courcoul

Author, Maintainer

Antoine Barbieri

Author

Hélène Jacqmin-Gadda

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-08-04 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-04
Total releases: 1 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 75 KB / 1 file
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LSJM")

Format

Courcoul, L., Barbieri, A., & Jacqmin-Gadda, H. (2026). LSJM: Estimate Location-Scale Joint Models (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LSJM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 LSJM version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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