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ePCR

0.11.0

Ensemble Penalized Cox Regression for Survival Prediction

1packages depend
2.7Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Teemu Daniel LaajalaFirst published 2017-12-215 releasesCRAN page ↗

The top-performing ensemble-based Penalized Cox Regression (ePCR) framework developed during the DREAM 9.5 mCRPC Prostate Cancer Challenge https://www.synapse.org/ProstateCancerChallenge presented in Guinney J, Wang T, Laajala TD, et al. (2017) doi:10.1016/S1470-2045(16)30560-5 is provided here-in, together with the corresponding follow-up work. While initially aimed at modeling the most advanced stage of prostate cancer, metastatic Castration-Resistant Prostate Cancer (mCRPC), the modeling framework has subsequently been extended to cover also the non-metastatic form of advanced prostate cancer (CRPC). Readily fitted ensemble-based model S4-objects are provided, and a simulated example dataset based on a real-life cohort is provided from the Turku University Hospital, to illustrate the use of the package. Functionality of the ePCR methodology relies on constructing ensembles of strata in patient cohorts and averaging over them, with each ensemble member consisting of a highly optimized penalized/regularized Cox regression model. Various cross-validation and other modeling schema are provided for constructing novel model objects.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 6.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
11
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 303 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
93%
Documented parameters
92%
Return-value docs
82%
References docs
20%

Downloads

2.7K
CRAN downloads in the past year
Rank #13,213 · ~8/day · ~229/mo
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20730 days
76390 days
2.7K1 year
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Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (11)
grDevicesgraphicsstatsmethodsglmnethamletsurvivaltimeROCpracmaBolstad2impute
LinkingTo (0)
none
Suggests (7)
MASSROCRc060utilsMatrixknitrrmarkdown
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (4)
no longer listed · 0.9.9-4 to 0.11.0
no longer listed · 0.9.9-4
no longer listed · 0.9.9-6 to 0.9.9-11
no longer listed · 0.11.0
Package Timeline

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

  • 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
  • 0.11.0Latest
    2024-02-19 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.9.9-11
    2019-11-24 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.9.9-9
    2019-04-11 · diff ↗
  • 0.9.9-6
    2018-05-29 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.9.9-4
    2017-12-21
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-12-21
Total releases
5 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
4.0 MB / 2 files
Download size
4.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ePCR")

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 ePCR version 0.11.0 [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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