Man pages for wilsoncai1992/TMLEbootstrap
Bootstrap Confidence Intervals for Targeted Maximum Likelihood Estimators
| ateBootstrap | Compute bootstrap confidence intervals on the ATE parameter |
| ateTMLE | Compute TMLE on the ATE parameter |
| ateTuneHyperparam | Use plateau method to choose the L1 penalty of HAL (ATE) |
| avgDensityBootstrap | Compute bootstrap confidence intervals on the average squared... |
| avgDensityTMLE | onestep TMLE of average density parameter |
| avgDensityTuneHyperparam | Use plateau method to choose the L1 penalty of HAL (average... |
| basic_fixed_HAL | (Experimental) Super Learner wrapper for fixed HAL |
| blipVarContinuousYTuneHyperparam | Use plateau method to choose the L1 penalty of HAL (blip... |
| blipVarianceBootstrap | Bootstrap confidence intervals for the blip variance... |
| blipVarianceBootstrapContinuousY | Bootstrap confidence intervals for the blip variance... |
| blipVarianceTMLE | Compute TMLE on the variance of CATE (binary Y) |
| blipVarianceTMLEContinuousY | Compute TMLE on the variance of CATE (continuous Y) |
| comprehensiveBootstrap | Run 'generalBootstrap' twice (regular + second-order... |
| cross_entropy | cross-entropy loss |
| cvDensityHAL | Fit a 1-d density using HAL regression; automatic tuning of... |
| densityHAL | Fit a 1-d density using HAL regression |
| empiricalDensity | Store a 1-dimensional density function |
| fit_fixed_HAL | fitting fixed_HAL. outputs an object of the fit use the old... |
| generalBootstrap | Abstract class of bootstrap |
| generate_SL.fixed_HAL | Generator of SL wrappers |
| grabPlateau | Grab a plateau of a function y = f(x) |
| longiData | Convert univariate series to longitudinal format |
| predict.fixed_HAL | prediciton function for fixed_HAL object |
| predict.SL.fixed_HAL | SuperLearner prediction function for the SL wrapper |
| scaleX | Perform min/max standardization based on (x - min)/(max -... |
| tuneHyperparam | Use plateau method to choose the L1 penalty of HAL (abstract... |
