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This is an R package implementing DDR, an algorithm that esimates conditional density functions by transforming the response variable of regression into a set of asymptotically Dirac delta functions using kernel density functions. This allows the user to convert a non-linear regressor into a conditional density estimator. We use kernel ridge regression as the underlying regressor in this implementation.
The academic article describing CCI in detail can be found [here](https://proceedings.mlr.press/v150/strobl21a). Please cite the article if you use any of the code in this repository.
The academic article describing DDR in detail can be found [here](https://proceedings.mlr.press/v150/strobl21a). Please cite the article if you use any of the code in this repository.
