KIR Genotype Imputation and Model Training from SNP Array Data R package PONG2 version 1.0.1 A scalable and accurate tool for Killer-cell Immunoglobulin-like Receptor (KIR) genotype imputation directly from SNP array data using supervised machine learning models trained across five continental ancestry groups. Uses attribute bagging and an ensemble classifier method with haplotype inference for SNPs and KIR types. Models are built from global populations in the 1000 Genomes Project and validated across diverse biobank cohorts. Methods are based on Zheng et al. (2014) <doi:10.1016/j.ajhg.2013.12.015> and Sadeeq et al. (2026) <https://github.com/NormanLabUCD/PONG2>. Software Depends: R (>= 4.0.0) Imports: parallel, graphics, stats, utils, tools LinkingTo: Rcpp, RcppParallel Suggests: HIBAG, knitr, rmarkdown, pkgdown, testthat Suraju A. Sadeeq <suraju.sadeeq@cuanschutz.edu> Comprehensive R Archive Network (CRAN) Suraju A. Sadeeq [aut, cre], Laura A. Leaton [aut], Katherine M. Kichula [aut], Paul J. Norman [aut], Xiuwen Zheng [ctb, cph] (Original HIBAG C++ code adapted in src/PONG.cpp and src/LibKIR.cpp) GPL-3 2026-06-24 application/tgz https://CRAN.R-project.org/package=PONG2 doi:10.32614/CRAN.package.PONG2