Times to failure of 50 devices, exhibiting a classic bathtub-shaped hazard rate. This is a standard benchmark dataset in reliability engineering.
Format
A data frame with 50 rows and 2 columns:
- time
Failure time
- status
Event indicator (1 = event occurred)
Source
Aarset, M. V. (1987). How to Identify a Bathtub Hazard Rate. IEEE Transactions on Reliability, R-36(1), 106-108.
Examples
data(aarset)
# \donttest{
fit <- fit_betadanish(survival::Surv(time, status) ~ 1, data = aarset)
#> Warning: The times look recorded on a grid of 0.1. The point-density likelihood treats them as exact, which understates the standard errors. Consider grouped = TRUE.
#> Error: No admissible optimum was found. Every start either failed or landed on a degenerate ridge, where the shape parameters explode and no finite maximiser exists. Try method = "NM", or fit the ED submodel with submodel = TRUE.
plot(fit, type = "hazard")
#> Error: object 'fit' not found
# }