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' |