swh:1:snp:ad378003cb201ec733beea49564ff1393cc677fa
Tip revision: d510df1dee399ebb2651becd32c86f0c020776e6 authored by Roger Koenker on 14 March 2004, 00:00:00 UTC
version 3.35
version 3.35
Tip revision: d510df1
INDEX
akj Density estimation using adaptive kernel method
bandwidth.rq bandwidth selection for rq functions
barro Barro Data
khmaladzize Function to compute Khmaladze Transformation
lm.fit.recursive Recursive Least Squares
plot.khmal Plots Standardized and Khmaladzized Residual
Processes
plot.rq.process plot the coordinates of the quantile regression
process
plot.table.rq Plot Table of Quantile Regression Results
print.rq Print an rq object
print.summary.rq Print Quantile Regression Summary Object
ranks Quantile Regression Ranks
rq Quantile Regression
rq.fit Function to choose method for Quantile
Regression
rq.fit.br Quantile Regression Fitting by Exterior Point
Methods
rq.fit.fn Quantile Regression Fitting via Interior Point
Methods
rq.fit.pfn Preprocessing Algorithm for Quantile Regression
rq.object Linear Quantile Regression Object
rq.process.object Linear Quantile Regression Process Object
rq.test.khmal Estimates Quantile Regression Model and Test
Statistics
rq.wfit Function to choose method for Weighted Quantile
Regression
rrs.test Quantile Regression Rankscore Test
standardize Function to standardize the quantile regression
process
summary.rq Summary method for Quantile Regression
table.rq Table of Quantile Regression Results