GLD.lm.full.surv | R Documentation |
The function is an extension of GLD.lm.surv
and defaults to
1000 simulation runs, coefficients and statistical properties of coefficients
can be plotted as part of the output.
GLD.lm.full.surv(formula, censoring, data, param, maxit = 20000, fun,
method = "Nelder-Mead", range = c(0.01, 0.99), n.simu = 1000,
summary.plot = FALSE, init = NULL, alpha = 0.05, censor.type = "right",
adj.int = FALSE, GLD.adj = FALSE, adj.censor = TRUE, keep.uncen = TRUE)
formula |
A symbolic expression of the model to be fitted, similar to the formula
argument in |
censoring |
1=Event, 0= Censored |
data |
Dataset containing variables of the model |
param |
Can be "rs", "fmkl" or "fkml" |
maxit |
Maximum number of iterations for numerical optimisation |
fun |
If param="fmkl" or "fkml", this can be one of If param="rs", this can be one of |
method |
Defaults to "Nelder-Mead" algorithm, can also be "SANN" but this is a lot slower and may not as good |
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. |
n.simu |
Number of simulations, defaults to 1000. |
summary.plot |
If TRUE present graphical display of model fitted. |
init |
Initial values to start optimization process. |
alpha |
Significant level of goodness of fit test. |
censor.type |
Can be " right" of "left censored. |
adj.int |
Adjust intercept in final output? |
GLD.adj |
Adjust GLD fitted to have theoretical zero mean? |
adj.censor |
Adjust censoring? |
keep.uncen |
Keep uncensored values? |
Message |
Short description of estimation method used and whether the result converged |
Bias Correction |
Bias correction used to ensure the line has zero mean residuals |
Estimated parameters |
A set of estimate coefficients from GLD regression |
Fitted |
Predicted response value from model |
Residual |
Residual of model |
formula |
Formula used in the model |
param |
Specify whether RS/FKML/FMKL GLD was used |
y |
The response variable |
x |
The explanatory variable(s) |
fun |
GLD fitting function used in the computation process, outputted for internal programming use |
censoring |
Censoring data |
AIC.full |
AIC results |
BIC.full |
BIC results |
censor.gld.values |
Result of GLD fit, including censoring |
simu.result |
Result of simulation for all coefficeints in the model |
censor.gld.values |
Result of GLD fit, including censoring |
simu.bias.correct.result |
Bias corrected simulation results |
Steve Su
Su (2021) "Flexible Parametric Accelerated Failure Time Model" Journal of Biopharmaceutical Statistics Volume 31, 2021 - Issue 5
GLD.lm.full
, GLD.quantreg
, GLD.lm
,
GLD.lm.surv
## Not run:
actg.rs<-GLD.lm.full.surv(log(time)~factor(txgrp)+hemophil+cd4+priorzdv+age,
censoring=actg[which(actg$txgrp!=3 & actg$txgrp!=4),]$censor,
data=actg[which(actg$txgrp!=3 & actg$txgrp!=4),],
param="rs",fun=fun.RPRS.ml.m,summary.plot=F,n.simu=1000)
## End(Not run)
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