GLDreg (version 1.1.2)

summaryGraphics.gld.surv.lm: Graphical display of output from GLD.lm.full.surv

Description

This function display the coefficients and the distribution of coefficients obtained from GLD Accelerated Failure Time regression model.

Usage

summaryGraphics.gld.surv.lm(overall.fit.obj, alpha = 0.05, label = NULL, 
                            ColourVersion = TRUE, diagnostics = TRUE, 
                            range = c(0.01, 0.99), exp = FALSE)

Value

Graphics displaying coefficient summary and diagnostic plot (if chosen)

Arguments

overall.fit.obj

An object from GLD.lm.full.surv

alpha

Specifying the range of interval for the coefficients, default is 0.05, which specifies a 95% interval. This also specifies the significance level of KS test.

label

A character vector indicating the labelling for the coefficients

ColourVersion

Whether to display colour or not, default is TRUE, if set as FALSE, a black and white plot is given. This is only applicable to the coefficient summary graph and has no effect on QQ plots.

diagnostics

If TRUE, then QQ plot will be given along with various goodness of fit test results

range

The is the quantile range to plot the QQ plot, defaults to 0.01 and 0.99 to avoid potential problems with extreme values of GLD which might be -Inf or Inf.

exp

If TRUE, Exponentiate the coefficients

Author

Steve Su

Details

The reason QQ plots are not displayed in black and white even if ColourVersion is set to FALSE is because the colour is necessary in those plots for clarity of display.

References

Su (2021) "Flexible Parametric Accelerated Failure Time Model" Journal of Biopharmaceutical Statistics Volume 31, 2021 - Issue 5

See Also

GLD.lm.full.surv

Examples

if (FALSE) {

library(mlr3proba)

actg320.rs<-GLD.lm.full.surv(log(time)~factor(txgrp)+hemophil+cd4+priorzdv+age,
censoring=actg320[which(actg320$txgrp!=3 & actg320$txgrp!=4),]$censor, 
data=actg320[which(actg320$txgrp!=3 & actg320$txgrp!=4),],
param="rs",fun=fun.RPRS.ml.m,summary.plot=F,n.simu=1000)

summaryGraphics.gld.surv.lm(actg320.rs,label=c("(Intercept)",
"IDV versus no IDV","Hemophiliac","Baseline CD4",
"Months of prior \n ZDV use","Age"),exp="TRUE")

}