Package: GreedyExperimentalDesign
Type: Package
Title: Greedy Experimental Design Construction
Version: 1.6.1
Date: 2026-04-30
Author: Adam Kapelner [aut, cre] (ORCID: 0000-0001-5985-6792), David
        Azriel [aut], Abba Krieger [aut]
Authors@R: c(person(given = "Adam",
                      family = "Kapelner",
                      role = c("aut", "cre"),
                      email = "kapelner@qc.cuny.edu",
                      comment = "ORCID: 0000-0001-5985-6792"),
               person(given = "David",
                      family = "Azriel",
                      role = "aut"),
               person(given = "Abba",
                      family = "Krieger",
                      role = "aut"))
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>
Description: Computes experimental designs for two-arm experiments with
        covariates using multiple methods, including: (0) complete
        randomization and randomization with forced-balance; (1) greedy
        optimization of a balance objective function via pairwise
        switching; (2) numerical optimization via 'gurobi'; (3)
        rerandomization; (4) Karp's method for one covariate; (5)
        exhaustive enumeration for small sample sizes; (6) binary pair
        matching using 'nbpMatching'; (7) binary pair matching plus
        method (1) to further optimize balance; (8) binary pair
        matching plus method (3) to further optimize balance; (9)
        Hadamard designs; and (10) simultaneous multiple kernels. For
        the greedy, rerandomization, and related methods, three
        objective functions are supported: Mahalanobis distance,
        standardized sums of absolute differences, and kernel distances
        via the 'kernlab' library. This package is the result of a
        stream of research that can be found in Krieger, A. M., Azriel,
        D. A., and Kapelner, A. (2019). "Nearly Random Designs with
        Greatly Improved Balance." Biometrika 106(3), 695-701
        <doi:10.1093/biomet/asz026>. Krieger, A. M., Azriel, D. A., and
        Kapelner, A. (2023). "Better experimental design by hybridizing
        binary matching with imbalance optimization." Canadian Journal
        of Statistics, 51(1), 275-292 <doi:10.1002/cjs.11685>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0), rJava (>= 0.9-6)
SystemRequirements: Java (>= 22.0); wgpu-native >= 0.19.0 (optional,
        for GPU acceleration, see
        https://github.com/gfx-rs/wgpu-native)
LinkingTo: Rcpp
Imports: Rcpp, checkmate, nbpMatching, rlist, stringr, stringi,
        kernlab, ggplot2, graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), pkgload, R6
Config/testthat/edition: 3
URL: https://github.com/kapelner/GreedyExperimentalDesign
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make default-jdk libicu-dev libuv1-dev
        libxml2-dev
Repository: https://kapelner.r-universe.dev
Date/Publication: 2026-05-06 15:04:29 UTC
RemoteUrl: https://github.com/kapelner/greedyexperimentaldesign
RemoteRef: HEAD
RemoteSha: 19c6c5ff35b455553ffca135cce6f05f426a14bf
RemoteSubdir: GreedyExperimentalDesign
NeedsCompilation: yes
Packaged: 2026-06-24 05:08:40 UTC; root