Description Usage Arguments Value Examples

This function is mostly useful for plotting a pmtree. The generic plotting does not show the estimate and confidence interval of the scale parameter. This one does.

1 | ```
coeftable.survreg(model, confint = TRUE, digits = 2, intree = FALSE)
``` |

`model` |
model of class |

`confint` |
should a confidence interval be computed? Default: TRUE |

`digits` |
integer, used for formating numbers. Default: 2 |

`intree` |
is the table plotted within a tree? Default: FALSE |

None.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
if(require("survival") & require("TH.data")) {
## Load data
data(GBSG2, package = "TH.data")
## Weibull model
bmod <- survreg(Surv(time, cens) ~ horTh, data = GBSG2, model = TRUE)
## Coefficient table
grid.newpage()
coeftable.survreg(bmod)
## partitioned model
tr <- pmtree(bmod)
## plot
plot(tr, terminal_panel = node_pmterminal(tr, plotfun = survreg_plot,
confint = TRUE, coeftable = coeftable.survreg))
}
``` |

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