Other packages > Find by keyword >

GreedyExperimentalDesign  

Greedy Experimental Design Construction
View on CRAN: Click here


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", "1.6")



Attach the package and use:
library("GreedyExperimentalDesign")
Maintained by
Adam Kapelner
[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 1.6, https://cran.r-project.org/web/packages/GreedyExperimentalDesign. Accessed 27 Aug. 2026.
Previous versions and publish date:
1.0 (2016-12-08 16:12), 1.1 (2018-03-02 23:05), 1.2 (2018-07-15 23:40), 1.4 (2020-12-07 17:30), 1.5.5 (2022-11-17 20:40), 1.5.6.1 (2023-07-12 20:30), 1.5 (2022-11-04 16:40), 1.6 (2026-01-09 10:31), (2026-07-09 08:06)
Other packages that cited GreedyExperimentalDesign R package
View GreedyExperimentalDesign citation profile
Other R packages that GreedyExperimentalDesign depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

BetterReg  
Better Statistics for OLS and Binomial Logistic Regression
Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
risksetROC  
Riskset ROC Curve Estimation from Censored Survival Data
Compute time-dependent Incident/dynamic accuracy measures (ROC curve, AUC, integrated AUC )from cen ...
Download / Learn more Package Citations See dependency  
lmmpar  
Parallel Linear Mixed Model
Embarrassingly Parallel Linear Mixed Model calculations spread across local cores which repeat until ...
Download / Learn more Package Citations See dependency  
IntervalQuestionStat  
Tools to Deal with Interval-Valued Responses in Questionnaires
A user-friendly toolbox for doing the statistical analysis of interval-valued responses in question ...
Download / Learn more Package Citations See dependency  
robustX  
'eXtra' / 'eXperimental' Functionality for Robust Statistics
Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA