predict_duane: Forecast MTBF from a Duane Model

In ReliaGrowR: Reliability Growth Analysis and Repairable Systems Modeling

Forecast MTBF from a Duane Model

Description

Takes a fitted duane object and a vector of cumulative times, returning predicted MTBF with confidence bounds as a duane_predict S3 object.

Usage

predict_duane(object, times, conf_level = 0.95)

Arguments

object	An object of class duane returned by duane().
times	A numeric vector of cumulative times at which to forecast MTBF. All values must be finite and > 0. A warning is issued if any value is at or below the maximum observed cumulative time (hindcasting).
conf_level	The desired confidence level (default 0.95). Must be a single finite numeric in (0, 1).

Value

An object of class duane_predict containing:

times	The forecast cumulative times.
mtbf	Predicted MTBF values.
lower_bounds	Lower confidence bounds on MTBF.
upper_bounds	Upper confidence bounds on MTBF.
conf_level	The confidence level used.
duane_object	The original duane object (used by the plot method).

See Also

Other Duane functions: duane(), plot.duane(), plot.duane_predict(), print.duane(), print.duane_predict()

Examples

times <- c(100, 200, 300, 400, 500)
failures <- c(1, 2, 1, 3, 2)
fit <- duane(times, failures)
fc <- predict_duane(fit, times = c(1000, 2000))
print(fc)

ReliaGrowR documentation built on May 22, 2026, 5:07 p.m.