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cpi  

Conditional Predictive Impact
View on CRAN: Click here


Download and install cpi package within the R console
Install from CRAN:
install.packages("cpi")

Install from Github:
library("remotes")
install_github("cran/cpi")

Install by package version:
library("remotes")
install_version("cpi", "0.1.5")



Attach the package and use:
library("cpi")
Maintained by
Marvin N. Wright
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-03
Latest Update: 2024-11-25
Description:
A general test for conditional independence in supervised learning algorithms as proposed by Watson & Wright (2021) . Implements a conditional variable importance measure which can be applied to any supervised learning algorithm and loss function. Provides statistical inference procedures without parametric assumptions and applies equally well to continuous and categorical predictors and outcomes.
How to cite:
Marvin N. Wright (2022). cpi: Conditional Predictive Impact. R package version 0.1.5, https://cran.r-project.org/web/packages/cpi. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:28), 0.1.4 (2022-03-03 10:10)
Other packages that cited cpi R package
View cpi citation profile
Other R packages that cpi depends, imports, suggests or enhances
Complete documentation for cpi
Functions, R codes and Examples using the cpi R package
Some associated functions: cpi . 
Some associated R codes: aaa.R . compute_loss.R . cpi.R . fit_learner.R .  Full cpi package functions and examples
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