Closed topepo closed 5 years ago
?summary.flexsurvreg has
?summary.flexsurvreg
"quantile" for quantiles of the survival time distribution.
The values are decreasing over the quantile though.
library(flexsurv) #> Loading required package: survival fs1 <- flexsurvreg(Surv(recyrs, censrec) ~ group, data = bc, dist = "weibull") summary(fs1, head(bc, 1), type = "quantile", quantiles = (1:9)/10) #> group=Good #> quantile est lcl ucl #> 1 0.1 20.908184 16.275891 27.000266 #> 2 0.2 16.127857 12.722296 20.535784 #> 3 0.3 13.067953 10.422573 16.484203 #> 4 0.4 10.721508 8.612247 13.409123 #> 5 0.5 8.757940 7.102589 10.843725 #> 6 0.6 7.019804 5.735314 8.629701 #> 7 0.7 5.410693 4.437209 6.622421 #> 8 0.8 3.851372 3.158536 4.709601 #> 9 0.9 2.235588 1.804118 2.781502
I would interpret the last line to mean that, for this sample being predicted, 90% of the survival time distribution is less than 2.235588.
This is with flexsurv 1.1.1.
flexsurv
Fixed in [8e6cc7b] - thanks.
?summary.flexsurvreg
hasThe values are decreasing over the quantile though.
I would interpret the last line to mean that, for this sample being predicted, 90% of the survival time distribution is less than 2.235588.
This is with
flexsurv
1.1.1.