Penalized Quantile Regression
Plots of coefficients by lambda for cv.rq.group.pen and cv.rq.pen
Plot of how coefficients change with tau
Plot of coefficients varying by quantiles for rq.pen.seq.cv object
Plot of how coefficients change with tau.
Coefficients from a cv.rq.group.pen object
Returns Coefficients of a cv.rq.pen object
Returns coefficients from a rq.pen.seq.cv object.
Returns coefficients of a rq.pen.seq object
Plots of cross validation results as a function of lambda.
Old cross validation function for group penalty
Cross validation plot for cv.rq.group.pen object
Plots cross validation results from a rq.pen.seq.cv object
Plot of coefficients of rq.pen.seq object as a function of lambda
Prediction for a cv.rq.pen object
Predictions from a qic.select object
Prediction for a rq.pen object
Predictions from rq.pen.seq.cv object
Predictions from rq.pen.seq object
Print a qic.select object
Prints a rq.pen.seq.cv object
Print a rq.pen.seq object
Calculate information criterion for penalized quantile regression mode...
Select tuning parameters using IC
Select tuning parameters using IC
Select tuning parameters using IC
Title Cross validation for consistent variable selection across multip...
Title Quantile regression estimation and consistent variable selection...
Estimates a quantile regression model with a group penalized objective...
Performs cross validation for a group penalty.
Fits quantile regression models using a group penalized objective func...
Estimates a quantile regression model with a lasso penalized quanitle ...
Non-convex penalized quantile regression
Does k-folds cross validation for rq.pen. If multiple values of a are ...
Fit a quantile regression model using a penalized quantile loss functi...
rqPen: A package for estimating quantile regression models using penal...
Performs penalized quantile regression with LASSO, elastic net, SCAD and MCP penalty functions including group penalties. In addition, offers a group penalty that provides consistent variable selection across quantiles. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC. Below URL provides a link to article in the R Journal.