| gamma_series | R Documentation |
Constructs a dist_structure for a series system whose components are
independent Gammas. Closed-form surv is evaluated by the product of
per-component upper-tail probabilities; cdf is 1 - surv; sampler
generates m independent Gammas and takes the min.
gamma_series(shapes, rates)
## S3 method for class 'gamma_series'
surv(x, ...)
## S3 method for class 'gamma_series'
sampler(x, ...)
shapes |
Positive numeric vector of length |
rates |
Positive numeric vector of length |
x |
A |
... |
Ignored. |
gamma_series() returns an object of class
c("gamma_series", "series_dist", "coherent_dist", "dist_structure", "univariate_dist", "continuous_dist", "dist").
The associated S3 methods return:
surv(): a closure function(t, ...).
cdf() is derived via the dist_structure default and returns
a closure function(t, ...) equal to 1 - surv(x)(t).
sampler(): a closure function(n, ...) returning n random
variates from the system lifetime distribution.
sys <- gamma_series(shapes = c(2, 3), rates = c(1, 2))
algebraic.dist::surv(sys)(1)
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