Package: GreedyExperimentalDesign
Type: Package
Title: Greedy Experimental Design Construction
Version: 1.4
Date: 2020-12-07
Author: Adam Kapelner, David Azriel and Abba M. Krieger
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>
Description: Computes experimental designs for a
    two-arm experiment with covariates via a number of methods. 
    (0) complete randomization and randomization with forced-balance.
    (1) Greedily optimizing a
    balance objective function via pairwise switching. This optimization 
    provides lower variance for the treatment effect estimator (and higher 
    power) while preserving a design that is close to complete randomization.
    We return all iterations of the designs for use in a permutation test.
    (2) The second is via numerical optimization 
    (via 'gurobi' which must be installed, see <https://www.gurobi.com/documentation/9.1/quickstart_windows/r_ins_the_r_package.html>) 
    a la Bertsimas and Kallus. 
    (3) rerandomization, 
    (4) Karp's method for one covariate, 
    (5) exhaustive enumeration to find the 
    optimal solution (only for small sample sizes)
    (6) Binary pair matching using the 'nbpMatching' library
    (7) Binary pair matching plus (1) to further optimize balance
    (8) Binary pair matching plus (3) to further optimize balance
    (9) Hadamard designs
    We also allow for three objective functions:
    Mahalanobis distance,
    Sum of absolute differences standardized and
    Kernel distances via the 'kernlab' library.
License: GPL-3
Depends: R (>= 3.2.0), rJava (>= 0.9-6), GreedyExperimentalDesignJARs
        (>= 1.0)
SystemRequirements: Java (>= 7.0)
LinkingTo: Rcpp
Imports: Rcpp, checkmate, nbpMatching, survey, kernlab, graphics,
        grDevices, stats
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-12-07 15:01:43 UTC; kapel
Repository: CRAN
Date/Publication: 2020-12-07 16:30:06 UTC
