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GreedyExperimentalDesign
View on CRAN: Click
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Download and install GreedyExperimentalDesign package within the R console
Install from CRAN:
install.packages("GreedyExperimentalDesign")
Install from Github:
library("remotes")
install_github("cran/GreedyExperimentalDesign")
Install by package version:
library("remotes")
install_version("GreedyExperimentalDesign", "1.5.6.1")
Attach the package and use:
library("GreedyExperimentalDesign")
Maintained by
Adam Kapelner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-08
Latest Update: 2023-07-12
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 )
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 design number (1) to further optimize balance,
(8) Binary pair matching plus design number (3) to further optimize balance,
(9) Hadamard designs,
(10) Simultaneous Multiple Kernels.
In (1-9) we allow for three objective functions:
Mahalanobis distance,
Sum of absolute differences standardized and
Kernel distances via the 'kernlab' library. This package is the result of a stream of research that can be found in
Krieger, A, Azriel, D and Kapelner, A "Nearly Random Designs with Greatly Improved Balance" (2016) ,
Krieger, A, Azriel, D and Kapelner, A "Better Experimental Design by Hybridizing Binary Matching with Imbalance
Optimization" (2021) .
How to cite:
Adam Kapelner (2016). GreedyExperimentalDesign: Greedy Experimental Design Construction. R package version 1.5.6.1, https://cran.r-project.org/web/packages/GreedyExperimentalDesign. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for GreedyExperimentalDesign
Functions, R codes and Examples using
the GreedyExperimentalDesign R package
Some associated functions: GreedyExperimentalDesign . automobile . complete_randomization . complete_randomization_with_forced_balanced . computeBinaryMatchStructure . compute_gram_matrix . compute_objective_val . compute_randomization_metrics . generate_stdzied_design_matrix . greedy_orthogonalization_curation . greedy_orthogonalization_curation2 . hadamardExperimentalDesign . initBinaryMatchExperimentalDesignSearch . initBinaryMatchFollowedByGreedyExperimentalDesignSearch . initBinaryMatchFollowedByRerandomizationDesignSearch . initGreedyExperimentalDesignObject . initGreedyMultipleKernelExperimentalDesignObject . initKarpExperimentalDesignObject . initOptimalExperimentalDesignObject . initRerandomizationExperimentalDesignObject . plot.greedy_experimental_design_search . plot.greedy_multiple_kernel_experimental_design . plot_obj_val_by_iter . plot_obj_val_order_statistic . print.binary_match_structure . print.binary_then_greedy_experimental_design . print.binary_then_rerandomization_experimental_design . print.greedy_experimental_design_search . print.greedy_multiple_kernel_experimental_design . print.karp_experimental_design_search . print.optimal_experimental_design_search . print.pairwise_matching_experimental_design_search . print.rerandomization_experimental_design_search . resultsBinaryMatchSearch . resultsBinaryMatchThenGreedySearch . resultsBinaryMatchThenRerandomizationSearch . resultsGreedySearch . resultsKarpSearch . resultsMultipleKernelGreedySearch . resultsOptimalSearch . resultsRerandomizationSearch . searchTimeElapsed . standardize_data_matrix . startSearch . stopSearch . summary.binary_match_structure . summary.binary_then_greedy_experimental_design . summary.binary_then_rerandomization_experimental_design . summary.greedy_experimental_design_search . summary.greedy_multiple_kernel_experimental_design . summary.karp_experimental_design_search . summary.optimal_experimental_design_search . summary.pairwise_matching_experimental_design_search . summary.rerandomization_experimental_design_search .
Some associated R codes: GreedyExperimentalDesign.R . RcppExports.R . binary_match_followed_by_greedy_search.R . binary_match_followed_by_rerandomization_search.R . binary_match_search.R . complete_randomization.R . greedy_multiple_kernel_search.R . greedy_orthogonalization_curation.R . greedy_orthogonalization_curation2.R . greedy_search.R . gurobi_numerical_optimization_orthogonalization_curation.R . gurobi_numerical_optimization_search.R . hadamard_search.R . karp_search.R . kernel_functions.R . optimal_search.R . randomization_metrics.R . rerandomization_search.R . shared.R . zzz.R . Full GreedyExperimentalDesign package functions and examples
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