Last data update: 2014.03.03
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GLDreg
Package: GLDreg
Type: Package
Title: Fit GLD Regression Model and GLD Quantile Regression Model to
Empirical Data
Version: 1.0.3
Date: 2015-07-04
Author: Steve Su, with contributions from: R core team for qqgld.default function.
Maintainer: Steve Su <allegro.su@gmail.com>
Depends: GLDEX (>= 2.0.0.1), grDevices, graphics, stats
Suggests: MASS, quantreg
Description: Owing to the rich shapes of GLDs, GLD standard/quantile regression is a competitive flexible model compared to standard/quantile regression. The proposed method has some major advantages: 1) it provides a reference line which is very robust to outliers with the attractive property of zero mean residuals and 2) it gives a unified, elegant quantile regression model from the reference line with smooth regression coefficients across different quantiles. The goodness of fit of the proposed model can be assessed via QQ plots and the Kolmogorov-Smirnov test, to ensure the appropriateness of the statistical inference under consideration. Statistical distributions of coefficients of the GLD regression line are obtained using simulation, and interval estimates are obtained directly from simulated data.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2015-07-04 09:17:29 UTC; Steve
Repository: CRAN
Date/Publication: 2015-07-04 15:33:00
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'GLDreg' ...
** package 'GLDreg' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'GLDreg'
finding HTML links ... done
GLD.lm html
finding level-2 HTML links ... done
GLD.lm.full html
GLD.quantreg html
GLDreg-package html
fittingfunctionsGLDreg html
fun.mean.convert html
fun.plot.q html
qqgld.default html
summaryGraphics.gld.lm html
** building package indices
** testing if installed package can be loaded
* DONE (GLDreg)
Making 'packages.html' ... done
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