Man pages for rizbicki/FlexCoDE
Fits Flexible Conditional Estimator via Regression

bindFlexCoDEBinds together objects of the class "FlexCoDE"
bindFlexCoDEKernelBinds together objects of the class "FlexCoDE"
calculateBasisCalculate basis functions for new observations
cde_lossCalculate CDE loss
chooseDeltaChoose threshold value to remove spurius bumps
chooseDeltaKernelChoose threshold value to remove spurius bumps
chooseSharpenChoose sharpen parameter of a conditional density estimator
combineFlexCoDEFinds best linear combination of several FlexCoDE estimates
combineFlexCoDEKernelFinds best linear combination of several FlexCoDE estimates
cosine_basisEvaluates cosine basis for new observations
daubechies_basisEvaluates Daubechies basis for new observations
estimateErrorEstimate error (risk) of FlexCoDE object via test set
estimateErrorCombinedKernelEstimate error (risk) of combinedFlexCoDE object via test set
estimateErrorFlexCoDEKernelEstimate error (risk) of FlexCoDE object via test set
fitFlexCoDEFlexCoDE Fit Conditional Density Estimation via Regression
fitFlexCoDEKernelFlexCoDE Fit Conditional Density Estimation via Regression
flexZBoostFits flexZBoost
fourier_basisEvaluates Fourier basis for new observations
haar_basisEvaluates Haar basis for new observations
normalize_densityProject onto density estimates Uses binary search to...
plot.combinedFlexCoDEPlots examples of estimated densities together with real...
plot.combinedFlexCoDEKernelPlots examples of estimated densities together with real...
plot.FlexCoDEPlots examples of estimated densities together with real...
plot.FlexCoDE_bindedPlots examples of estimated densities together with real...
plot.FlexCoDE_bindedKernelPlots examples of estimated densities together with real...
plot.FlexCoDEKernelPlots examples of estimated densities together with real...
post_processPost process density estimate to normalize and remove bumps
predict.combinedFlexCoDEEvaluates the estimated density of new observations (testing...
predict.combinedFlexCoDEKernelEvaluates the estimated density of new observations (testing...
predict.FlexCoDEEvaluates the estimated density of new observations (testing...
predict.FlexCoDEKernelEvaluates the estimated density of new observations (testing...
predict.ForestPredict Forest regression
predict.LassoPredict Lasso regression
predict.NNPredict NN regression
predict.NNKernelPredict NN regression
predict.NWPredict NW regression
predict.SeriesPredict Series regression
predict.SeriesKernelPredict Series regression
predict.SpAMPredict SpAM regression
predict.XGBoostPredict XGBoost
print.combinedFlexCoDEPrint object of classe combinedFlexCoDE
print.combinedFlexCoDEKernelPrint object of classe combinedFlexCoDE
print.FlexCoDEPrint object of classe FlexCoDE
print.FlexCoDEKernelPrint object of classe FlexCoDE
print.ForestPrint function for object of the class Forest
print.LassoPrint function for object of the class Lasso
print.NNPrint function for object of the class NN
print.NNKernelPrint function for object of the class NN
print.NWPrint function for object of the class NW
print.SDMKernelPrint function for object of the class SDMKernel
print.SeriesPrint function for object of the class Series
print.SeriesKernelPrint function for object of the class Series
print.SpAMPrint function for object of the class SpAM
print.XGBoostPrint function for object of the class XGBoost
regressionFunction.ForestForest Regression
regressionFunction.LassoLasso Regression
regressionFunction.NNNearest Neighbors Regression
regressionFunction.NNKernelNearest Neighbors Regression
regressionFunction.NWNadaraya Watson Regression
regressionFunction.SDMKernelTitle test
regressionFunction.SeriesSpectral Series Regression
regressionFunction.SeriesKernelSpectral Series Regression
regressionFunction.SpAMSpAM Regression (Sparse Additive Model)
regressionFunction.XGBoostXGBoost
remove_bumpsRemoving bumps from density estimates
sharpenSharpen estimated of a conditional density estimator
rizbicki/FlexCoDE documentation built on May 19, 2018, 8:13 p.m.