/usr/lib/R/site-library/quantreg/INDEX is in r-cran-quantreg 5.35-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | Bosco Boscovich Data
CobarOre Cobar Ore data
FAQ FAQ and ChangeLog of a package
KhmaladzeTest Tests of Location and Location Scale Shift
Hypotheses for Linear Models
Mammals Garland(1983) Data on Running Speed of Mammals
Peirce C.S. Peirce's Auditory Response Data
QTECox Function to obtain QTE from a Cox model
akj Density Estimation using Adaptive Kernel method
anova.rq Anova function for quantile regression fits
bandwidth.rq bandwidth selection for rq functions
barro Barro Data
boot.crq Bootstrapping Censored Quantile Regression
boot.rq Bootstrapping Quantile Regression
combos Ordered Combinations
critval Hotelling Critical Values
crq Functions to fit censored quantile regression
models
dither Function to randomly perturb a vector
dynrq Dynamic Linear Quantile Regression
engel Engel Data
gasprice Time Series of US Gasoline Prices
kuantile Quicker Sample Quantiles
latex Make a latex version of an R object
latex.summary.rqs Make a latex table from a table of rq results
latex.table Writes a latex formatted table to a file
lm.fit.recursive Recursive Least Squares
lprq locally polynomial quantile regression
nlrq Function to compute nonlinear quantile
regression estimates
nlrq.control Set control parameters for nlrq
plot.rq.process plot the coordinates of the quantile regression
process
plot.rqs Visualizing sequences of quantile regressions
plot.rqss Plot Method for rqss Objects
plot.summary.rqs Visualizing sequences of quantile regression
summaries
predict.rq Quantile Regression Prediction
predict.rqss Predict from fitted nonparametric quantile
regression smoothing spline models
print.rq Print an rq object
print.summary.rq Print Quantile Regression Summary Object
qrisk Function to compute Choquet portfolio weights
qss Additive Nonparametric Terms for rqss Fitting
ranks Quantile Regression Ranks
rearrange Rearrangement
residuals.nlrq Return residuals of an nlrq object
rq Quantile Regression
rq.fit Function to choose method for Quantile
Regression
rq.fit.br Quantile Regression Fitting by Exterior Point
Methods
rq.fit.fnb Quantile Regression Fitting via Interior Point
Methods
rq.fit.fnc Quantile Regression Fitting via Interior Point
Methods
rq.fit.hogg weighted quantile regression fitting
rq.fit.lasso Lasso Penalized Quantile Regression
rq.fit.pfn Preprocessing Algorithm for Quantile Regression
rq.fit.scad SCADPenalized Quantile Regression
rq.fit.sfn Sparse Regression Quantile Fitting
rq.fit.sfnc Sparse Constrained Regression Quantile Fitting
rq.object Linear Quantile Regression Object
rq.process.object Linear Quantile Regression Process Object
rq.wfit Function to choose method for Weighted Quantile
Regression
rqProcess Compute Standardized Quantile Regression
Process
rqs.fit Function to fit multiple response quantile
regression models
rqss Additive Quantile Regression Smoothing
rqss.object RQSS Objects and Summarization Thereof
sfn.control Set Control Parameters for Sparse Fitting
srisk Markowitz (Mean-Variance) Portfolio
Optimization
summary.crq Summary methods for Censored Quantile
Regression
summary.rq Summary methods for Quantile Regression
summary.rqss Summary of rqss fit
table.rq Table of Quantile Regression Results
uis UIS Drug Treatment study data
|