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Iscores  

Proper Scoring Rules for Missing Value Imputation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Iscores", "1.1.0")



Attach the package and use:
library("Iscores")
Maintained by
Loris Michel
[Scholar Profile | Author Map]
First Published: 2021-09-08
Latest Update: 2022-01-05
Description:
Implementation of a KL-based scoring rule to assess the quality of different missing value imputations in the broad sense as introduced in Michel et al. (2021) .
How to cite:
Loris Michel (2021). Iscores: Proper Scoring Rules for Missing Value Imputation. R package version 1.1.0, https://cran.r-project.org/web/packages/Iscores. Accessed 08 Apr. 2025.
Previous versions and publish date:
1.0.0 (2021-09-08 11:10)
Other packages that cited Iscores R package
View Iscores citation profile
Other R packages that Iscores depends, imports, suggests or enhances
Complete documentation for Iscores
Functions, R codes and Examples using the Iscores R package
Some associated functions: Iscores . class.balancing . combine2Forests . combineForests . compute_drScore . densityRatioScore . doevaluation . sample.vars.proj . truncProb . 
Some associated R codes: Iscores.R . helpers.R .  Full Iscores package functions and examples
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