bytau.plot              Plot of how coefficients change with tau
bytau.plot.rq.pen.seq   Plot of how coefficients change with tau.
bytau.plot.rq.pen.seq.cv
                        Plot of coefficients varying by quantiles for
                        rq.pen.seq.cv object
coef.rq.pen.seq         Returns coefficients of a rq.pen.seq object
coef.rq.pen.seq.cv      Returns coefficients from a rq.pen.seq.cv
                        object.
plot.rq.pen.seq         Plot of coefficients of rq.pen.seq object as a
                        function of lambda
plot.rq.pen.seq.cv      Plots cross validation results from a
                        rq.pen.seq.cv object
predict.qic.select      Predictions from a qic.select object
predict.rq.pen.seq      Predictions from rq.pen.seq object
predict.rq.pen.seq.cv   Predictions from rq.pen.seq.cv object
print.qic.select        Print a qic.select object
print.rq.pen.seq        Print a rq.pen.seq object
print.rq.pen.seq.cv     Prints a rq.pen.seq.cv object
qic.select              Select tuning parameters using IC
qic.select.rq.pen.seq   Select tuning parameters using IC
qic.select.rq.pen.seq.cv
                        Select tuning parameters using IC
rq.gq.pen               Title Quantile regression estimation and
                        consistent variable selection across multiple
                        quantiles
rq.gq.pen.cv            Title Cross validation for consistent variable
                        selection across multiple quantiles.
rq.group.pen            Fits quantile regression models using a group
                        penalized objective function.
rq.group.pen.cv         Performs cross validation for a group penalty.
                        #'
rq.pen                  Fit a quantile regression model using a
                        penalized quantile loss function.
rq.pen.cv               Does k-folds cross validation for rq.pen. If
                        multiple values of a are specified then does a
                        grid based search for best value of lambda and
                        a.
rqPen                   rqPen: A package for estimating quantile
                        regression models using penalized objective
                        functions.
