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Parallelised Estimation of Prediction Error

1packages depend
8.6Kdownloads / year
45.5%test coverage
13/13flavors OK

Overview

About

Designed for prediction error estimation through resampling techniques, possibly accelerated by parallel execution on a compute cluster. Newly developed model fitting routines can be easily incorporated. Methods used in the package are detailed in Porzelius Ch., Binder H. and Schumacher M. (2009) doi:10.1093/bioinformatics/btp062 and were used, for instance, in Porzelius Ch., Schumacher M. and Binder H. (2011) doi:10.1007/s00180-011-0236-6.

Changes in 1.7
  • Restore the suggestion of the package CoxBoost and the corresponding functions that were removed, as this package is again on the CRAN.
  • New public wrappers for penalized, glmnet, grpreg, SGL, ncvreg, randomForestSRC, and mboost

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • NOTE12 OK, 1 NOTE2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.7
READMEYes · 115 wordsVignettesNoNEWSYes · 100% structured · mentions 1.7Citation fileYes · computed when R runs itWebsiteYes · pkgdown
Help pages
31
Examples that run
33%2 run in a plain check · 4 never run
Exported functions with examples
17%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
13%

Downloads

8.6K
CRAN downloads in the past year
Rank #5,249 · ~23/day · ~713/mo
Daily download trend is not available in this view yet.
61530 days
1.6K90 days
8.6K1 year
Compare downloads with other packages →
Also on417 r2u6 autocran141 c2d4u

Repository

3Stars
0Forks
0Open issues
0Open PRs
2Releases
14Commits
1Commit identities
License file reads as GPL-3.0 · 14 commits · Last activity 2026-03-24
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
713
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fbertran/peperr on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-03-24

pkgdown site last built 2025-09-14, before release 1.7 (2026-03-25)

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing peperr adds 2 packages (0 with compiled code, 193 KB of source tarballs). Heaviest: snowfall 173 KB, snow 20 KB.

Depends (3)
snowfallsurvivalmethods
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (3)
Maintainer · added in 1.6

Maintainer since 1.2 (2021), previously Christine Porzelius (1.0 to 1.1-7.1)

Releases (19)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.7Latest
    record
    2026-03-25 · current release · diff ↗ ·
    added 35 exports
    complexity.cv.glmnet, complexity.cv.grpsurv, complexity.cv.ncvsurv, complexity.cv.penalized, complexity.cvSGL.cox, complexity.cvrisk.mboost, complexity.ipec.CoxBoost, complexity.ripec.CoxBoost, complexity.mincv.CoxBoost, complexity.fusedLASSO, complexity.oob.rfsrc, fit.CoxBoost, fit.fusedLASSO, fit.glmnet, fit.grpsurv, fit.mboost.coxph, fit.ncvsurv, fit.penalized, fit.rfsrc, fit.SGL.cox, PLL.CoxBoost, PLL.coxnet, PLL.grpsurv, PLL.mboost_coxph, PLL.ncvsurv, PLL.penfit, PLL.SGL_cox, predictProb.CoxBoost, predictProb.coxnet, predictProb.grpsurv and 5 more
  • 1.6
    record
    2025-09-15 · diff ↗ ·
    added 1 export
    PLL.coxph
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.5
    record
    2023-03-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.4
    record
    2022-03-03 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.3
    record
    2021-03-16 · diff ↗
  • 1.2
    record
    2021-02-27 · diff ↗ ·
    removed 7 exports
    complexity.ipec.CoxBoost, complexity.ripec.CoxBoost, complexity.mincv.CoxBoost, fit.CoxBoost, PLL.CoxBoost, PLL.coxph, predictProb.CoxBoost
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1-7.1
    record
    2019-01-25 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 26 earlier eventsHide 26 earlier events
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 1.1-7
    record
    2013-04-08 · diff ↗ ·
    removed 3 exports
    complexity.ipec.rsf_mtry, fit.rsf_mtry, predictProb.rsf
  • R
    R 3.0.0 released · 2013-04-03
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • 1.1-6
    record
    2011-03-16 · diff ↗
  • R
    R 2.12.0 released · 2010-10-15
  • R
    R 2.11.0 released · 2010-04-22
  • 1.1-5
    record
    2010-01-22 · diff ↗
  • R
    R 2.10.0 released · 2009-10-26
  • 1.1-4
    record
    2009-09-28 · diff ↗ ·
    added 3 exports
    complexity.ipec.rsf_mtry, fit.rsf_mtry, predictProb.rsf
  • 1.1-3
    record
    2009-04-23 · diff ↗ ·
    added 1 export
    ipec
  • R
    R 2.9.0 released · 2009-04-17
  • 1.1-2
    record
    2009-01-22 · diff ↗
  • 1.1-1
    record
    2008-12-18 · diff ↗
  • 1.1
    record
    2008-10-29 · diff ↗
  • R
    R 2.8.0 released · 2008-10-20
  • 1.0-3
    record
    2008-09-02 · diff ↗ ·
    added 1 export
    complexity.ripec.CoxBoost
  • 1.0-2
    record
    2008-08-13 · diff ↗ ·
    added 1 export
    PLL.coxph
  • 1.0-1
    record
    2008-07-29 · diff ↗
  • 1.0
    record
    2008-07-15
  • R
    R 2.7.0 released · 2008-04-22

Package metadata

First published
2008-07-15
Total releases
19 / 18 yrs
License
GPL (>= 2) OSI
Download size
109 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("peperr")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 peperr version 1.7 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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