plot_survival: Fitted vs empirical survival curve
In stagelife: Random Number Generation and Inferences for Two-Stage Life-Testing Data
plot_survival R Documentation
Fitted vs empirical survival curve
Description
Fitted vs empirical survival curve
Usage
plot_survival(fit)
Arguments
fit
A converged "slt_fit" object, fit to data from a
simple-step-stress (rslt() with prop_transfer = 1) design.
Value
A ggplot object.
Examples
set.seed(1)
d <- rslt(150, "weibull", c(0.05, 1.5), c(0.2, 1.5), tau1 = 5, prop_transfer = 1)
fit <- fit_slt(d, "weibull", "shape1", tau1 = 5)
plot_survival(fit)
stagelife documentation built on Nov. 3, 2026, 5:08 p.m.
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| plot_survival | R Documentation |
Fitted vs empirical survival curve
Description
Fitted vs empirical survival curve
Usage
plot_survival(fit)
Arguments
fit |
A converged |
Value
A ggplot object.
Examples
set.seed(1)
d <- rslt(150, "weibull", c(0.05, 1.5), c(0.2, 1.5), tau1 = 5, prop_transfer = 1)
fit <- fit_slt(d, "weibull", "shape1", tau1 = 5)
plot_survival(fit)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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