https://github.com/cran/quantreg
Raw File
Tip revision: 83618978f28ba8b414e6d77d6415fb8f08e9cf7b authored by Roger Koenker on 10 January 2015, 00:00:00 UTC
version 5.11
Tip revision: 8361897
DESCRIPTION
Package: quantreg
Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: 
  Linear and nonlinear parametric and non-parametric (total variation penalized) models 
  for conditional quantiles of a univariate response and several methods for handling
  censored survival data.  Portfolio selection methods based on expected shortfall
  risk are also included.
Version: 5.11
Authors@R: c(person("Roger", "Koenker",  role = c("cre","aut"), email =  "rkoenker@illinois.edu"),
    person("Stephen", "Portnoy",  role = c("ctb"), 
	comment = "Contributions to Censored QR code", email =  "sportnoy@illinois.edu"),
    person(c("Pin", "Tian"), "Ng",  role = c("ctb"), 
	comment = "Contributions to Sparse QR code", email =  "pin.ng@nau.edu"),
    person("Achim", "Zeileis",  role = c("ctb"), 
	comment = "Contributions to dynrq code essentially identical to his dynlm code", 
	email =  "Achim.Zeileis@uibk.ac.at"),
    person("Philip", "Grosjean",  role = c("ctb"), 
	comment = "Contributions to nlrq code", email =  "phgrosjean@sciviews.org"),
    person(c("Brian", "D"), "Ripley",  role = c("trl","ctb"), 
	comment = "Initial (2001) R port from S (to my everlasting shame -- 
	how could I have been so slow to adopt R!) and for numerous other 
	suggestions and useful advice", email =  "ripley@stats.ox.ac.uk"))
Author: Roger Koenker with contributions from Stephen Portnoy, Pin Ng, Achim Zeileis, Philip Grosjean and Brian Ripley
Maintainer: Roger Koenker <rkoenker@illinois.edu>
Depends: R (>= 2.6), stats, SparseM
Suggests: tripack, akima, MASS, survival, rgl, logspline, nor1mix,
        MatrixModels, Matrix, Formula, zoo, dynlm
License: GPL (>= 2)
URL: http://www.r-project.org
Repository: CRAN
Date/Publication: 2015-01-11 09:22:56
Packaged: 2015-01-10 22:52:07 UTC; roger
NeedsCompilation: yes
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