Skip to content

pencal

2.3.1Package record

Penalized Regression Calibration for the Dynamic Prediction of Survival

0packages depend
4.9Kdownloads / year
–test coverage
12/13flavors OK

Overview

About

Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. See Signorelli (2024) doi:10.32614/RJ-2024-014 and Signorelli et al. (2021) doi:10.1002/sim.9178 for details.

Changes in 2.3.1
  • Released: April 2026
  • Changed error to warning for check on times argument in performance_prc. Added same warning to performance_pencox for consistency
  • Added warning in survpred_prclmm and survpred_prcmplmm telling users that they are trying to predict beyond the last observed time. Added extend = T to summary.survfit call within such functions
  • Minor updates to help pages (mostly formatting)

From inst/NEWS.md in the release

Install

Health

CRAN checks
1ERROR12OK
Check messages
ERRORpackage dependenciesr-oldrel-macos-arm64
Package required but not available: ‘survcomp’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 3.7 min · r-oldrel-windows-x86_64
Status changes
  • ERROR12 OK, 1 ERRORNow
  • ERROR13 OK, 1 ERROR2026-04-15
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.3.1
READMENoVignettesYes · 1 · staticNEWSYes · 67% structured · mentions 2.3.1Citation fileYes · cites a publicationWebsiteYes
Cites an R Journal article
Help pages
27 (2 internal)
Examples that run
78%14 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
93%
Help pages citing references
100%

Downloads

4.9K
CRAN downloads in the past year
Rank #6,137 · ~13/day · ~410/mo
Daily download trend is not available in this view yet.
54830 days
1.4K90 days
4.9K1 year
Compare downloads with other packages →
Also on84 r2u

Repository

PracticesBeta

Repository github.com/mirkosignorelli/r is linked, but repository-practices checks have not run for it yet.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing pencal adds 101 packages (52 with compiled code, 91 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 4.2.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.1 (2020), Copyright holder
Contributor
Contributor
Contributor · added in 2.0.1
Releases (27)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.3.1Latest
    record
    2026-04-09 · current release · diff ↗
  • 2.3.0
    record
    2025-06-05 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 2.2.4
    record
    2025-03-10 · diff ↗
  • 2.2.3
    record
    2025-02-07 · diff ↗
  • 2.2.2
    record
    2024-06-12 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.2.1
    record
    2024-03-31 · diff ↗ ·
    removed 2 exports
    getlmm, getmlpmm
    added 1 export
    survplot_prc
  • 2.1.1
    record
    2023-10-28 · diff ↗
  • 2.1.0
    record
    2023-09-16 · diff ↗
  • 2.0.1
    record
    2023-08-10 · diff ↗ ·
    removed 2 exports
    pencox_baseline, performance_pencox_baseline
    added 2 exports
    pencox, performance_pencox
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3.2
    record
    2022-12-15 · diff ↗
  • unarchivedReturned to CRAN
    2022-12-09
  • 1.3.1
    record
    2022-12-09 · diff ↗ ·
    added 2 exports
    getlmm, getmlpmm
Show 22 earlier eventsHide 22 earlier events
  • archivedRemoved from CRAN
    2022-12-05
    requires archived package 'survivalROC'
  • 1.2.2
    record
    2022-07-20 · diff ↗
  • 1.2.1
    record
    2022-06-22 · diff ↗
  • unarchivedReturned to CRAN
    2022-05-30
  • 1.2.0
    record
    2022-05-30 · diff ↗
  • archivedRemoved from CRAN
    2022-05-22
    check issues were not corrected in time
  • 1.1.1
    record
    2022-05-03 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.0
    record
    2022-03-29 · diff ↗
  • 1.0.2
    record
    2022-02-14 · diff ↗
  • 1.0.1
    record
    2021-12-01 · diff ↗
  • 1.0.0
    record
    2021-09-03 · diff ↗
  • 0.4.2
    record
    2021-05-28 · diff ↗ ·
    removed 1 export
    survpred_prc
    added 2 exports
    survpred_prclmm, survpred_prcmlpmm
  • R
    R 4.1.0 released · 2021-05-18
  • 0.4.1
    record
    2021-04-19 · diff ↗ ·
    added 2 exports
    pencox_baseline, performance_pencox_baseline
  • 0.3.2
    record
    2021-03-25 · diff ↗
  • 0.3.1
    record
    2021-03-16 · diff ↗ ·
    removed 2 exports
    performance_prclmm, survpred_prclmm
    added 6 exports
    fit_mlpmms, fit_prcmlpmm, performance_prc, simulate_prcmlpmm_data, summarize_mlpmms, survpred_prc
  • 0.2.2
    record
    2021-01-15 · diff ↗
  • 0.2.1
    record
    2021-01-06 · diff ↗
  • 0.1.2
    record
    2020-12-04 · diff ↗ ·
    added 1 export
    survpred_prclmm
  • 0.1.1
    record
    2020-11-25
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-25
Total releases
27 / 6 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.2.0
Bundled data
996 KB / 3 files
Download size
1.5 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("pencal")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/rj-2024-014, 10.1002/sim.9178.

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 pencal version 2.3.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy