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RISCA

1.0.7Package record

Causal Inference and Prediction in Cohort-Based Analyses

1packages depend
5.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events, competing events, and multi-state data. For multistate data, semi-Markov model with interval censoring may be considered, and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables. For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders. Finally, several functions are available to assess time-dependent ROC curves or survival curves from aggregated data.

Install

Health

CRAN checks
13OK
Slowest check: 6.9 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 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.7
READMEYes · 153 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
47
Examples that run
94%44 run in a plain check · 3 hold no code
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
94%
Help pages citing references
87%

Downloads

5.6K
CRAN downloads in the past year
Rank #6,725 · ~15/day · ~466/mo
Daily download trend is not available in this view yet.
49630 days
1.2K90 days
5.6K1 year
Compare downloads with other packages →
Also on108 r2u8 autocran

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing RISCA adds 175 packages (92 with compiled code, 143 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggformula 6.0 MB.

Depends (6)
R >= 4.0.0splinessurvivalrelsurvreticulatetune
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
1indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.8 (2019)
Listed in earlier versions (6)
Show 6 peopleHide 6 people
Arthur Chatton
no longer listed · 0.8 to 1.0.6
Christophe Combescure
no longer listed · 0.8 to 1.0.1
Etienne Dantan
no longer listed · 0.8 to 1.0.1
Florence Gillaizeau
no longer listed · 0.8 to 1.0.1
Florent Le Borgne
no longer listed · 0.8 to 1.0.6
no longer listed · 1.0.1 to 1.0.4
Releases (10)

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
  • 1.0.7Latest
    record
    2025-02-21 · current release · diff ↗
  • 1.0.6
    record
    2025-01-20 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • unarchivedReturned to CRAN
    2024-03-22
  • 1.0.5
    record
    2024-03-22 · diff ↗ ·
    removed 22 exports
    differentiation, aft.gamma, aft.ggamma, aft.weibull, aft.llogis, ph.exponential, ph.gompertz, cox.lasso, cox.ridge, cox.en, cox.all, cox.aic, nn.time, rf.time, sl.time, metric, tune.cox.lasso, tune.cox.ridge, tune.cox.en, tune.cox.aic, tune.nn.time, tune.rf.time
  • archivedRemoved from CRAN
    2024-01-24
    requires archived package 'mosaicCalc'
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.4
    record
    2023-03-22 · diff ↗ ·
    removed 4 exports
    gc.sl.time, nnet.time, hr.sl.time, tune.nnet.time
    added 2 exports
    nn.time, tune.nn.time
  • 1.0.3
    record
    2022-11-21 · diff ↗
  • 1.0.1
    record
    2022-05-02 · diff ↗ ·
    added 27 exports
    gc.sl.time, aft.gamma, aft.ggamma, aft.weibull, aft.llogis, ph.exponential, ph.gompertz, cox.lasso, cox.ridge, cox.en, cox.all, cox.aic, nnet.time, rf.time, sl.time, hr.sl.time, metric, tune.cox.lasso, tune.cox.ridge, tune.cox.en, tune.cox.aic, tune.nnet.time, tune.rf.time, port, roc.prognostic.aggregate, roc.prognostic.individual, survival.mr
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.9
    record
    2020-11-18 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
Show 4 earlier eventsHide 4 earlier events
  • 0.8.2
    record
    2020-04-05 · diff ↗ ·
    added 1 export
    gc.sl.binary
  • 0.8.1
    record
    2020-03-31 · diff ↗ ·
    added 2 exports
    differentiation, rmst
  • 0.8
    record
    2019-08-05
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-05
Total releases
10 / 7 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0.0
Bundled data
446 KB / 13 files
Download size
594 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RISCA")
Foucher, Y. (2025). RISCA: Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.7) [Computer software]. https://doi.org/10.32614/CRAN.package.RISCA

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 RISCA version 1.0.7 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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