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CRAN requires the check problems on this package to be fixed before 2026-08-29 or it will be archived.

LABTNSCPSS

1.0.2

Calculation of Comorbidity and Frailty Scores

0packages depend
1.5Kdownloads / year
test coverage
10/13checks pass

Overview

About
Maintained by Azadeh BayaniFirst published 2026-02-202 releasesCRAN page ↗GitHub ↗

Computes comorbidity indices and combined frailty scores for multiple ICD coding systems, including ICD-10-CA, ICD-10-CM, and ICD-11. The package provides tools to preprocess episode data, map diagnosis codes to chronic categories, propagate conditions across episodes, and generate comorbidity and frailty measures. The methods implemented are original to this package and were developed by the authors for research applications; a manuscript describing the methodology is currently in preparation.

Install

Health

CRAN checks
1ERROR2WARNING10OK
Failing flavors
  • WARNING r-devel-linux-x86_64-fedora-clang
  • WARNING r-devel-linux-x86_64-fedora-gcc
  • ERROR r-oldrel-windows-x86_64
Slowest check: 29.4 min · r-release-linux-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
86%
Documentation · exports
11
Dependencies · direct
Check history
  • ERROR2026-04-26
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-28
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 78 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
4%

Downloads

1.5K
CRAN downloads in the past year
Rank #17,175 · ~4/day · ~124/mo
Daily download trend is not available in this view yet.
17430 days
62390 days
1.5K1 year
Compare downloads with other packages →
Also on37 r2u19 autocran

Repository

Repository
0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-02-28

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bayaniazadeh/labtnscpsspackage on 2026-08-16.

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.3.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2026-03-26 · current release · diff ↗
  • 1.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-20
Total releases
2 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.3.0
Bundled data
2.4 MB / 19 files
Download size
2.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LABTNSCPSS")
Bayani, A., Bally, M., & Nikiema, J. N. (2026). LABTNSCPSS: Calculation of Comorbidity and Frailty Scores (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.LABTNSCPSS

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LABTNSCPSS version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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