R: Fit GLD Regression/Quantile/AFT Model to Data

# Fit GLD Regression/Quantile/AFT Model to Data

## Documentation for package ‘GLDreg’ version 1.1.2

- DESCRIPTION file

## Help Pages

GLDreg-package | This package fits standard and quantile and accerlerated Failure Time regression models using RS and FMKL/FKML generalised lambda distributions via maximum likelihood estimation and L moment matching.
actg | ACTG 320 Clinical Trial Dataset
fun.mean.convert | Convert a RS or FKML GLD into RS or FKML GLD to the desired theoretical mean by changing only the first parameter
fun.plot.q | 2-D Plot for Quantile Regression lines
GLD.lm | This function fits a GLD regression linear model
GLD.lm.full | This function fits a GLD regression linear model and conducts simulations to display the statistical properties of estimated coefficients
GLD.lm.full.surv | This function fits a GLD Accelerated Failure Time regression linear model and conducts simulations to display the statistical properties of estimated coefficients
GLD.lm.surv | This function fits a GLD Accelerated Failure Time Model for Survival Data
GLD.quantreg | Fit a GLD quantile regression parametrically or non parametrically
GLDreg | This package fits standard and quantile and accerlerated Failure Time regression models using RS and FMKL/FKML generalised lambda distributions via maximum likelihood estimation and L moment matching.
qqgld.default | QQ plot for GLD
summaryGraphics.gld.lm | Graphical display of output from 'GLD.lm.full'
summaryGraphics.gld.surv.lm | Graphical display of output from 'GLD.lm.full.surv'