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malp  

Maximum Agreement Linear Prediction
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("malp", "1.1-0")



Attach the package and use:
library("malp")
Maintained by
Pierre Chausse
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-03
Latest Update: 2026-08-03
Description:
Provides tools for estimation and prediction using Maximum Agreement Linear Predictors (MALPs). MALPs provide an alternative to least squares linear predictors when agreement between predicted and observed values, as measured by Lin's Concordance Correlation Coefficient (CCC), is of primary interest. Applications include missing value imputation and calibration studies. The package includes functions for model estimation, prediction, statistical inference, cross-validation, and model diagnostics. The implemented methodology is described in Kim et al. (2026) <doi:10.1214/26-EJS2550>.
How to cite:
Pierre Chausse (2026). malp: Maximum Agreement Linear Prediction. R package version 1.1-0, https://cran.r-project.org/web/packages/malp. Accessed 24 Oct. 2026.
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