predict_nhpp: Forecast Cumulative Events from an NHPP Model.

In ReliaGrowR: Reliability Growth Analysis and Repairable Systems Modeling

Forecast Cumulative Events from an NHPP Model.

Description

Takes a fitted nhpp object and a vector of future cumulative times, returning predicted cumulative events with confidence bounds.

Usage

predict_nhpp(object, time, conf_level = 0.95)

Arguments

object	An object of class nhpp returned by nhpp().
time	A numeric vector of cumulative times at which to forecast. All values must be finite and > 0.
conf_level	Confidence level (default 0.95).

Value

An object of class nhpp_predict containing:

time	Forecast times.
cum_events	Predicted cumulative events.
lower_bounds	Lower confidence bounds.
upper_bounds	Upper confidence bounds.
conf_level	Confidence level used.
model_type	Model type.
nhpp_object	The original nhpp object.

See Also

Other Repairable Systems Analysis: exposure(), mcf(), nhpp(), overlay_nhpp(), plot.exposure(), plot.mcf(), plot.nhpp(), plot.nhpp_predict(), print.exposure(), print.mcf(), print.nhpp(), print.nhpp_predict()

Examples

time <- c(200, 400, 600, 800, 1000)
event <- c(3, 5, 4, 7, 6)
fit <- nhpp(time, event)
fc <- predict_nhpp(fit, time = c(1500, 2000))
print(fc)
plot(fc, main = "NHPP Forecast", xlab = "Time", ylab = "Cumulative Events")

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