Package: malp
Version: 1.1-1
Date: 2026-09-21
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
URL: https://codeberg.org/pchausse/malp,
        https://pchausse.r-universe.dev/malp
BugReports: https://codeberg.org/pchausse/malp/issues
Repository: https://pchausse.r-universe.dev
Date/Publication: 2026-09-22 18:40:41 UTC
RemoteUrl: https://codeberg.org/pchausse/malp
RemoteRef: HEAD
RemoteSha: 52c54c1e2bcdc550668d812d69c161efd8626764
NeedsCompilation: no
Packaged: 2026-09-22 19:09:18 UTC; root
Author: Pierre Chausse [aut, cre],
  Taeho Kim [aut],
  Edsel A. Pena [aut],
  George Luta [ctb]
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>