Skip to content

wally

1.0.10Package record

The Wally Calibration Plot for Risk Prediction Models

0packages depend
2.5Kdownloads / year
90.1%test coverage
11/13flavors OK

Overview

About

A prediction model is calibrated if, roughly, for any percentage x we can expect that x subjects out of 100 experience the event among all subjects that have a predicted risk of x%. A calibration plot provides a simple, yet useful, way of assessing the calibration assumption. The Wally plot consists of a sequence of usual calibration plots. Among the plots contained within the sequence, one is the actual calibration plot which has been obtained from the data and the others are obtained from similar simulated data under the calibration assumption. It provides the investigator with a direct visual understanding of the shape and sampling variability that are common under the calibration assumption. The original calibration plot from the data is included randomly among the simulated calibration plots, similarly to a police lineup. If the original calibration plot is not easily identified then the calibration assumption is not contradicted by the data. The method handles the common situations in which the data contain censored observations and occurrences of competing events.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Paul F. Blanche <paulfblanche@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Paul", "F"),
                      family = "Blanche",
                      role = "aut",
                      email = "paulfblanche@gmail.com"),
               person(given = c("Thomas", "A."),
                      family = "Gerds",
                      role = "aut",
                      email = "tag@biostat.ku.dk"),
               person(given = c("Paul", "F."),
                      family = "Blanche",
                      role = "cre",
                      email = "paulfblanche@gmail.com"))
as necessary.

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-10-25
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-10-24
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.10
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.5K
CRAN downloads in the past year
Rank #19,248 · ~7/day · ~206/mo
Daily download trend is not available in this view yet.
26930 days
68890 days
2.5K1 year
Compare downloads with other packages →
Also on64 r2u3 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing wally adds 87 packages (43 with compiled code, 84 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (2)
R >= 2.9.0prodlim
Imports (3)
LinkingTo (0)
none
Suggests (2)
testthatsurvival
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 1.0.8 (2017)

Releases (3)

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
  • 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
  • 1.0.10Latest
    record
    2019-10-30 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.9
    record
    2017-05-25 · diff ↗
  • 1.0.8
    record
    2017-05-17
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-05-17
Total releases
3 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.9.0
Bundled data
121 KB / 2 files
Download size
72 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wally")

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 wally version 1.0.10 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, 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