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wally
View on CRAN: Click
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Download and install wally package within the R console
Install from CRAN:
install.packages("wally")
Install from Github:
library("remotes")
install_github("cran/wally")
Install by package version:
library("remotes")
install_version("wally", "1.0.10")
Attach the package and use:
library("wally")
Maintained by
Paul F. Blanche
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-17
Latest Update: 2019-10-30
Description:
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.
How to cite:
Paul F. Blanche (2017). wally: The Wally Calibration Plot for Risk Prediction Models. R package version 1.0.10, https://cran.r-project.org/web/packages/wally. Accessed 22 Dec. 2024.
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imports, suggests or enhances
Complete documentation for wally
Functions, R codes and Examples using
the wally R package
Some associated functions: divat . threecity . wallyPlot .
Some associated R codes: AJ-constrained-bootstrap.R . AJ-constrained.R . KM-constrained-bootstrap.R . KM-constrained.R . calibrationBarplot.R . wally-package.R . wallyPlot.R . Full wally package functions and examples
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