Man pages for rizbicki/FlexCoDE
Fits Flexible Conditional Estimator via Regression
| bindFlexCoDE | Binds together objects of the class "FlexCoDE" |
| bindFlexCoDEKernel | Binds together objects of the class "FlexCoDE" |
| calculateBasis | Calculate basis functions for new observations |
| cde_loss | Calculate CDE loss |
| chooseDelta | Choose threshold value to remove spurius bumps |
| chooseDeltaKernel | Choose threshold value to remove spurius bumps |
| chooseSharpen | Choose sharpen parameter of a conditional density estimator |
| combineFlexCoDE | Finds best linear combination of several FlexCoDE estimates |
| combineFlexCoDEKernel | Finds best linear combination of several FlexCoDE estimates |
| cosine_basis | Evaluates cosine basis for new observations |
| daubechies_basis | Evaluates Daubechies basis for new observations |
| dot-haar_phi | Evaluates Haar mother wavlet |
| estimateError | Estimate error (risk) of FlexCoDE object via test set |
| estimateErrorCombinedKernel | Estimate error (risk) of combinedFlexCoDE object via test set |
| estimateErrorFlexCoDEKernel | Estimate error (risk) of FlexCoDE object via test set |
| fitFlexCoDE | FlexCoDE Fit Conditional Density Estimation via Regression |
| fitFlexCoDEKernel | FlexCoDE Fit Conditional Density Estimation via Regression |
| FlexZBoost | Fits FlexZBoost |
| fourier_basis | Evaluates Fourier basis for new observations |
| haar_basis | Evaluates Haar basis for new observations |
| normalize_density | Project onto density estimates Uses binary search to... |
| plot.combinedFlexCoDE | Plots examples of estimated densities together with real... |
| plot.combinedFlexCoDEKernel | Plots examples of estimated densities together with real... |
| plot.FlexCoDE | Plots examples of estimated densities together with real... |
| plot.FlexCoDE_binded | Plots examples of estimated densities together with real... |
| plot.FlexCoDE_bindedKernel | Plots examples of estimated densities together with real... |
| plot.FlexCoDEKernel | Plots examples of estimated densities together with real... |
| post_process | Post process density estimate to normalize and remove bumps |
| predict.combinedFlexCoDE | Evaluates the estimated density of new observations (testing... |
| predict.combinedFlexCoDEKernel | Evaluates the estimated density of new observations (testing... |
| predict.FlexCoDE | Evaluates the estimated density of new observations (testing... |
| predict.FlexCoDEKernel | Evaluates the estimated density of new observations (testing... |
| predict.Forest | Predict Forest regression |
| predict.Lasso | Predict Lasso regression |
| predict.NN | Predict NN regression |
| predict.NNKernel | Predict NN regression |
| predict.NW | Predict NW regression |
| predict.Series | Predict Series regression |
| predict.SeriesKernel | Predict Series regression |
| predict.SpAM | Predict SpAM regression |
| predict.XGBoost | Predict XGBoost |
| print.combinedFlexCoDE | Print object of classe combinedFlexCoDE |
| print.combinedFlexCoDEKernel | Print object of classe combinedFlexCoDE |
| print.FlexCoDE | Print object of class FlexCoDE |
| print.FlexCoDEKernel | Print object of classe FlexCoDE |
| print.Forest | Print function for object of the class Forest |
| print.Lasso | Print function for object of the class Lasso |
| print.NN | Print function for object of the class NN |
| print.NNKernel | Print function for object of the class NN |
| print.NW | Print function for object of the class NW |
| print.SDMKernel | Print function for object of the class SDMKernel |
| print.Series | Print function for object of the class Series |
| print.SeriesKernel | Print function for object of the class Series |
| print.SpAM | Print function for object of the class SpAM |
| print.XGBoost | Print function for object of the class XGBoost |
| regressionFunction.Forest | Forest Regression |
| regressionFunction.Lasso | Lasso Regression |
| regressionFunction.NN | Nearest Neighbors Regression |
| regressionFunction.NNKernel | Nearest Neighbors Regression |
| regressionFunction.NW | Nadaraya Watson Regression |
| regressionFunction.SDMKernel | Title test |
| regressionFunction.Series | Spectral Series Regression |
| regressionFunction.SeriesKernel | Spectral Series Regression |
| regressionFunction.SpAM | SpAM Regression (Sparse Additive Model) |
| regressionFunction.XGBoost | XGBoost |
| remove_bumps | Removing bumps from density estimates |
| sharpen | Sharpen estimated of a conditional density estimator |
