Package: malp
Version: 1.1-0
Date: 2026-07-22
Title: Maximum Agreement Linear Prediction
Authors@R: c(person(given="Pierre", family="Chausse", role=c("aut","cre"),
	   	    email="pchausse@uwaterloo.ca"),
	     person(given="Taeho", family="Kim", role="aut",
	            email="tak422@lehigh.edu"),
             person(given="Edsel A.", family="Pena", role = "aut",
	             email = "pena@stat.sc.edu"),		    		    
	     person(given="George", family="Luta", role = "ctb",
	             email = "George.Luta@georgetown.edu"))
Depends: R (>= 4.0.0)
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>.
License: GPL (>= 2)
Imports: stats, sandwich, graphics, boot
BugReports: https://github.com/pchausse/malp/issues
NeedsCompilation: no
Packaged: 2026-07-23 15:36:26 UTC; pierrechausse
Author: Pierre Chausse [aut, cre],
  Taeho Kim [aut],
  Edsel A. Pena [aut],
  George Luta [ctb]
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2026-08-03 18:00:20 UTC
Built: R 4.5.2; ; 2026-08-03 19:57:02 UTC; unix
