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  1. superlearner-guide

    SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

    HTML 11 2

  2. varImpact

    Variable importance through causal inference, with Alan Hubbard

    R 8 4

  3. ck37r

    R functions for project setup, data cleaning, parallelization, and targeted learning.


  4. randomize_ado

    Stata module for random assignment, including blocking, balance checking, and automated rerandomization.

    Stata 2 1

  5. concise-r

    A concise introduction to R programming and data analysis

    HTML 2 1

  6. htestimate

    Horvitz-Thompson estimator for RCTs, with Joel Middleton

    R 4

1,561 contributions in the last year

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Contribution activity First pull request First issue First repository Joined GitHub

February 2017

Created an issue in mlampros/OpenImageR that received 6 comments

Build fails on Travis-CI

Hello, I'm using OpenImageR due to the dependency with KernelKnn, and am running into an issue where OpenImageR fails to build on Travis-CI. See th…

132 contributions in private repositories Feb 6 – Feb 24

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