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causalCmprsk

2.0.0Package record

Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks

0packages depend
3.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Estimation of average treatment effects (ATE) of point interventions on time-to-event outcomes with K competing risks (K can be 1). The method uses propensity scores and inverse probability weighting for emulation of baseline randomization, which is described in Charpignon et al. (2022) doi:10.1038/s41467-022-35157-w.

Install

Health

CRAN checks
13OK
Slowest check: 8.0 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.0.0
READMEYes · 146 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
71%

Downloads

3.2K
CRAN downloads in the past year
Rank #13,574 · ~9/day · ~269/mo
Daily download trend is not available in this view yet.
32630 days
85590 days
3.2K1 year
Compare downloads with other packages →
Also on85 r2u13 autocran

Repository

3Stars
0Forks
0Open issues
0Open PRs
0Releases
45Commits
5Commit identities
45 commits · Last activity 2023-07-04
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2022-12-18 · 32026-07-07 · 3
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/bella2001/causalcmprsk on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing causalCmprsk adds 12 packages (7 with compiled code, 9.4 MB of source tarballs). Heaviest: data.table 5.7 MB, vctrs 1.0 MB, rlang 766 KB.

Depends (1)
R >= 4.0.0
Imports (9)
survivalinlinedoParallelparallelutilsforeachdata.tablepurrrmethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (6)
Author, Maintainer since 1.0.0 (2020)
Author · added in 1.0.1
Listed in earlier versions (1)
Mark W Albers
no longer listed · 1.0.0
Releases (6)

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
  • 2.0.0Latest
    record
    2023-07-04 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-03-31
  • 1.1.0
    record
    2023-03-31 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • archivedRemoved from CRAN
    2022-04-04
    'coercion to logical' errors were not corrected in time See https://www.stats.ox.ac.uk/pub/bdr/LENGTH1/
  • unarchivedReturned to CRAN
    2021-08-09
  • 1.0.3
    record
    2021-08-09 · diff ↗
  • 1.0.2
    record
    2021-08-09 · diff ↗
  • archivedRemoved from CRAN
    2021-08-08
    check problems were not corrected in time
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.1
    record
    2021-01-05 · diff ↗
  • 1.0.0
    record
    2020-11-03
Show 1 earlier eventHide 1 earlier event
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-03
Total releases
6 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0.0
Download size
289 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("causalCmprsk")
Vakulenko-Lagun, B., Albers, M., Charpignon, M., Das, S., Magdamo, C., & Zheng, B. (2023). causalCmprsk: Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks (Version 2.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.causalCmprsk

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for causalCmprsk version 2.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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