R Observatory: Metrics for SLCARE version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SLCARE

1.2.0Package record

Semiparametric Latent Class Analysis of Recurrent Events

0packages depend

2.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Qi YuCRAN page ↗

Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) doi:10.1111/rssb.12499. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.

Changes in 1.2.0

I would like to thank the editorial team form R journal for useful comments to improve the package.
Tentatively integrate colorectal dataset to our package, which was originally publicly available in frailtypack package (Rondeau et al. 2012).
Update title for the cumulative baseline intensity function plot.
Add default print to the model.
Refine the documentation for model parameters.

From NEWS.md in the release

Install

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

install.packages("SLCARE", 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-slcare

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-SLCARE

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-SLCARE

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

13OK

CRAN check page ↗

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMEYes · 140 wordsVignettesNoNEWSYes · 67% structured · mentions 1.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8 (1 internal)includes a package overview page
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 0%
Help pages citing references: 13%

How these are measured

Downloads

2.5K

CRAN downloads in the past year

Rank #20,745 · ~7/day · ~208/mo

Releases R versions

Daily download trend is not available in this view yet.

23330 days

64590 days

2.5K1 year

Compare downloads with other packages →

Also on67 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing SLCARE adds 47 packages (27 with compiled code, 46 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 2.10

Imports (11)

dplyr ggplot2 magrittrmethodsnnetreda reReg rlangstatstidyrutils

LinkingTo (0)

none

Suggests (0)

none

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 (2)

Qi Yu

Author, Maintainer since 1.0.0 (2023)

Limin Peng

Author

Releases (4)

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
1.2.0Latest
record
2024-06-24 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.1.0
record
2024-01-14 · diff ↗
1.0.1
record
2023-10-12 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.0
record
2023-02-22
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-22
Total releases: 4 / 3 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Bundled data: 9.0 KB / 2 files
Download size: 29 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SLCARE")

Format

Yu, Q., & Peng, L. (2024). SLCARE: Semiparametric Latent Class Analysis of Recurrent Events (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SLCARE

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 SLCARE version 1.2.0 [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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