Other packages > Find by keyword >

GLDreg  

Fit GLD Regression/Quantile/AFT Model to Data
View on CRAN: Click here


Download and install GLDreg package within the R console
Install from CRAN:
install.packages("GLDreg")

Install from Github:
library("remotes")
install_github("cran/GLDreg")

Install by package version:
library("remotes")
install_version("GLDreg", "1.1.2")



Attach the package and use:
library("GLDreg")
Maintained by
Steve Su
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-11
Latest Update: 2025-09-03
Description:
Owing to the rich shapes of Generalised Lambda Distributions (GLDs), GLD standard/quantile/Accelerated Failure Time (AFT) regression is a competitive flexible model compared to standard/quantile/AFT 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. For AFT model, it also eliminates the needs to try several different AFT models, owing to the flexible shapes of GLD. The goodness of fit of the proposed model can be assessed via QQ plots and Kolmogorov-Smirnov tests and data driven smooth 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. References include the following: Su (2015) "Flexible Parametric Quantile Regression Model" , Su (2021) "Flexible parametric accelerated failure time model".
How to cite:
Steve Su (2014). GLDreg: Fit GLD Regression/Quantile/AFT Model to Data. R package version 1.1.2, https://cran.r-project.org/web/packages/GLDreg. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.0.1 (2014-12-09 08:43), 1.0.2 (2015-03-05 07:41), 1.0.3 (2015-07-04 15:33), 1.0.4 (2016-07-28 17:28), 1.0.5 (2016-12-26 12:25), 1.0.6 (2017-01-29 10:16), 1.0.7 (2017-02-28 10:58), 1.0 (2014-11-11 12:23), 1.1.0 (2022-05-13 09:30), 1.1.1 (2024-01-23 01:33), (2026-07-09 08:05)
Other packages that cited GLDreg R package
View GLDreg citation profile
Other R packages that GLDreg depends, imports, suggests or enhances
Complete documentation for GLDreg
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA