R: Kernel Adaptive Density Estimation and Regression

# Kernel Adaptive Density Estimation and Regression

## Documentation for package ‘kader’ version 0.0.8

- DESCRIPTION file.
- Package NEWS.

## Help Pages

kader-package | Kernel Adjusted Density Estimation and Regression
adaptive_fnhat | Specialized "Workhorse" Function for Kernel Adaptive Density Estimators
bias_AND_scaledvar | Estimators of Bias and Scaled Variance
bias_ES2012 | Bias Estimator of Eichner & Stute (2012)
compute_fnhat | "Unified" Function for Kernel Adaptive Density Estimators
cuberoot | Cube-root that retains its argument's sign
epanechnikov | Epanechnikov kernel
fnhat_ES2013 | Robust Kernel Density Estimator of Eichner & Stute (2013)
fnhat_SS2011 | (Non-robust) Kernel Density Estimator of Srihera & Stute (2011)
J1 | J1
J2 | J2
J_admissible | Admissible Rank Transformations of Eichner & Stute (2013)
kade | Kernel Adaptive Density Estimator
kader | Kernel Adjusted Density Estimation and Regression
kare | Kernel Adaptive Regression Estimator
kfn_vectorized | Convolution of Kernel Function K with fn
minimize_MSEHat | Minimization of Estimated MSE
mse_hat | MSE Estimator
nadwat | The Classical Nadaraya-Watson Regression Estimator
pc | pc
qc | qc
rectangular | Rectangular kernel
var_ES2012 | Variance Estimator of Eichner & Stute (2012)
weights_ES2012 | Weights W_{ni} of Eichner & Stute (2012)