A Fast Algorithm for Kernel Quantile Regression

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Documentation for package ‘fastkqr’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

coef.kqr	Extract model coefficients from a 'kqr' object.
coef.nckqr	Extract model coefficients from a 'nckqr' object.
cv.kqr	cross-validation for selecting the tuning parameter of kernel quantile regression
cv.nckqr	cross-validation for selecting the tuning parameter 'lambda2' of non-crossing kernel quantile regression
kqr	Solve the kernel quantile regression. The solution path is computed at a grid of values of tuning parameter 'lambda'.
nckqr	Solve the non-crossing kernel quantile regression
predict.kqr	Predict the fitted values for a 'kqr' object.
predict.nckqr	Predict the fitted values for a 'nckqr' object.