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bartMachine - Bayesian Additive Regression Trees

An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.

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openjdk

10.95 score 65 stars 2 dependents 326 scripts 5.6k downloads

ICEbox - Individual Conditional Expectation Plot Toolbox

Implements Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. ICE plots refine Friedman's partial dependence plot by graphing the functional relationship between the predicted response and a covariate of interest for individual observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate of interest, suggesting where and to what extent they may exist.

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cppopenmp

5.61 score 35 stars 61 scripts 3.8k downloads

GreedyExperimentalDesign - Greedy Experimental Design Construction

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>.

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cppopenjdk

4.77 score 1 dependents 22 scripts 593 downloads

bclogit - Conditional Logistic Regression

Performs inference for Bayesian conditional logistic regression with informative priors built from the concordant pair data. We include many options to build the priors. And we include many options during the inference step for estimation, testing and confidence set creation. For details, see Kapelner and Tennenbaum (2026) "Improved Conditional Logistic Regression using Information in Concordant Pairs with Software" <doi:10.48550/arXiv.2602.08212>.

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cpp

3.90 score 1 stars 6 scripts 206 downloads

fastLogisticRegressionWrap - Fast Logistic Regression Wrapper

Provides very fast logistic regression with coefficient inferences plus other useful methods such as a forward stepwise model generator (see the benchmarks by visiting the github page at the URL below). The inputs are flexible enough to accomodate GPU computations. The coefficient estimation employs the fastLR() method in the 'RcppNumerical' package by Yixuan Qiu et al. This package allows their work to be more useful to a wider community that consumes inference.

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cpp

3.48 score 1 stars 2 dependents 3 scripts 212 downloads

OptimalRerandExpDesigns - Optimal Rerandomization Experimental Designs

This is a tool to find the optimal rerandomization threshold in non-sequential experiments. We offer three procedures.

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openjdk

2.70 score 1 scripts 145 downloads

bartMachineJARs - bartMachine JARs

These are bartMachine's Java dependency libraries. Note: this package has no functionality of its own and should not be installed as a standalone package without bartMachine.

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openjdk

2.66 score 3 dependents 11 scripts 4.6k downloads

PTE - Personalized Treatment Evaluator

We provide inference for personalized medicine models. Namely, we answer the questions: (1) how much better does a purported personalized recommendation engine for treatments do over a business-as-usual approach and (2) is that difference statistically significant?

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1.52 score 33 scripts 164 downloads

optDesignSlopeInt - Optimal Designs for Estimating the Slope Divided by the Intercept

Aids practitioners to optimally design experiments that measure the slope divided by the intercept and provides confidence intervals for the ratio.

Last updated

1.00 score 2 scripts 210 downloads

GreedyExperimentalDesignJARs - GreedyExperimentalDesign JARs

These are GreedyExperimentalDesign Java dependency libraries. Note: this package has no functionality of its own and should not be installed as a standalone package without GreedyExperimentalDesign.

Last updated

openjdk

1.00 score 155 downloads