| continuous_toy_data_simulation | Toy data simulation with continuous treatments |
| cvboost | Gradient boosting for regression and classification with... |
| cv_klrs | Kernel ridge regression with Gaussian kernels with cross... |
| data_simulation | data simulation |
| easy_toy_data_simulation | Toy data simulation |
| invariate_add_tests | helper function for testing treatment effect is invariant... |
| invariate_mult_tests | helper function for testing treatment effect is invariant... |
| meta_learner_tests | helper function for result comparison |
| predict.cvboost | predict for cvboost |
| predict.rboost | predict for rboost |
| predict.rkern | predict for rkern |
| predict.rlasso | predict for rlasso |
| predict.sboost | predict for sboost |
| predict.skern | predict for skern |
| predict.slasso | predict for slasso |
| predict.tboost | predict for tboost |
| predict.tkern | predict for tkern |
| predict.tlasso | predict for tlasso |
| predict.uboost | predict for uboost |
| predict.ukern | predict for ukern |
| predict.ulasso | predict for ulasso |
| predict.xboost | predict for xboost |
| predict.xkern | predict for xkern |
| predict.xlasso | predict for xlasso |
| rboost | R-learner, implemented via xgboost (boosting) |
| rkern | R-learner, implemented via kernel ridge regression with a... |
| rlasso | R-learner, implemented via glmnet (lasso) |
| sboost | S-learner, implemented via xgboost (boosting) |
| simple_meta_learner_tests | helper function for testing the code runs |
| skern | S-learner, implemented via kernel ridge regression with a... |
| slasso | S-learner, implemented via glmnet (lasso) |
| tboost | T-learner, implemented via xgboost (gradient boosting) |
| t_data_simulation | data simulation for T-learner |
| tkern | T-learner, implemented via kernel ridge regression with... |
| tlasso | T-learner, implemented via glmnet (lasso) |
| t_toy_data_simulation | Toy data simulation for T-learner |
| uboost | U-learner implemented via xgboost (boosting) |
| ukern | U-learner implemented via kernel ridge regression with a... |
| ulasso | U-learner implemented via glmnet (lasso) |
| xboost | X-learner implemented via xgboost (boosting) |
| xkern | X-learner implemented via kernel ridge regression (with a... |
| xlasso | X-learner implemented via glmnet (lasso) |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.