fit.results1 <- rriskFitdist.perc(show.output = FALSE)
fit.results1
fit.results2 <- rriskFitdist.perc(show.output = FALSE, tolConv = 0.6)
fit.results2
p <- c(0.2, 0.7)
q <- c(2.6, 19.1)
fit.results3 <- rriskFitdist.perc(p = p, q = q, show.output = FALSE)
fit.results3
p <- c(0.3, 0.8, 0.9)
q <- c(10, 20, 40)
fit.results4 <- rriskFitdist.perc(p = p, q = q, show.output = FALSE)
fit.results4
## Example with fitted pert distribution
p <- c(0.025, 0.5, 0.6, 0.975)
q <- mc2d::qpert(p = p, min = 0, mode = 3, max = 10, shape = 5)
fit.results5 <- rriskFitdist.perc(p = p, q = q, show.output = FALSE)
fit.results5
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