predict_rga: Forecast Cumulative Failures from a Reliability Growth Model

In ReliaGrowR: Reliability Growth Analysis and Repairable Systems Modeling

Forecast Cumulative Failures from a Reliability Growth Model

Description

Takes a fitted rga object and a vector of cumulative times, returning predicted cumulative failures with confidence bounds as an rga_predict S3 object.

Usage

predict_rga(object, times, conf_level = 0.95)

Arguments

object	An object of class rga returned by rga().
times	A numeric vector of cumulative times at which to forecast. 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 rga_predict containing:

times	The forecast cumulative times.
cum_failures	Predicted cumulative failures.
lower_bounds	Lower confidence bounds.
upper_bounds	Upper confidence bounds.
conf_level	The confidence level used.
model_type	Either "Crow-AMSAA" or "Piecewise NHPP".
rga_object	The original rga object (used by the plot method).

See Also

Other Reliability Growth Analysis: overlay_rga(), plot.rga(), plot.rga_predict(), print.rga(), print.rga_predict(), rga()

Examples

times <- c(100, 200, 300, 400, 500)
failures <- c(1, 2, 1, 3, 2)
fit <- rga(times, failures)
fc <- predict_rga(fit, times = c(1500, 2000))
print(fc)

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