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APPEstimation  

Adjusted Prediction Model Performance Estimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("APPEstimation", "0.1.1")



Attach the package and use:
library("APPEstimation")
Maintained by
Eisuke Inoue
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-05
Latest Update: 2018-01-05
Description:
Calculating predictive model performance measures adjusted for predictor distributions using density ratio method (Sugiyama et al., (2012, ISBN:9781139035613)). L1 and L2 error for continuous outcome and C-statistics for binomial outcome are computed.
How to cite:
Eisuke Inoue (2018). APPEstimation: Adjusted Prediction Model Performance Estimation. R package version 0.1.1, https://cran.r-project.org/web/packages/APPEstimation. Accessed 25 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited APPEstimation R package
View APPEstimation citation profile
Other R packages that APPEstimation depends, imports, suggests or enhances
Complete documentation for APPEstimation
Functions, R codes and Examples using the APPEstimation R package
Some associated functions: APPEstimation-package . appe.glm . appe.lm . cvalest.bin . densratio.appe . 
Some associated R codes: appe.glm.R . appe.lm.R . cvalest.bin.R . densratio.appe.R .  Full APPEstimation package functions and examples
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