Prof. Adam Kapelner's repositories
bartMachine
An R-Java Bayesian Additive Regression Trees implementation
QC_MATH_342W_Spring_2021
Course Homepage for Math 342W Intro to Data Science and Machine Learning at Queens College
QC_MATH_342W_Spring_2024
Course Homepage for Math 342W / 642 / RM 742 Fundamentals of Data Science at Queens College
QC_MATH_342W_Spring_2022
Course Homepage for Math 342W Intro to Data Science and Machine Learning at Queens College
QC_MATH_340_Fall_2023
Course Homepage for Math 340 / 640 Probability Theory for Data Science and Statistics at Queens College
QC_Math_390.4_Spring_2020
Course Homepage for Math 390.4 Intro to Data Science and Machine Learning at Queens College in the Spring, 2020
QC_MATH_241_Fall_2021
The course homepage for Math 241 Fall 2021
fastLogisticRegressionWrap
The public repository for the R package fastLogisticRegressionWrap on CRAN
QC_MATH_341_Fall_2023
Course Homepage for Math 341 / 641 Statistical Theory for Data Science at Queens College
QC_MATH_343_Spring_2024
Course Homepage for Math 343 Computational Statistics for Data Science at Queens College
GreedyExperimentalDesign
A means of computing near optimal experimental designs for a two-arm experiment with covariates
matching_on_the_fly_designs_R_package_and_paper_repr
Code for the R package SeqExpMatch and the code to reproduce the simulations in our paper "A Matching Procedure for Sequential Experiments that Iteratively Learns which Covariates Improve Power"
optDesignSlopeInt
An R package which helps practitioners optimally design experiments that measure the slope divided by the intercept
OptimalRerandExpDesigns
Finds the Optimal Threshold for Rerandomization Experimental Designs
QC_MATH_368_Fall_2021
The course homepage for Math 368/621 Fall 2021
QC_MATH_369_Fall_2021
The course homepage for Math 369/690 Fall 2021
QCbasementGBM
Creates a gradient boosting model fit and predicts