Description Usage Arguments Details Value Examples
Weibull distribution with shape parameter tau and rate parameter beta.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | expValWeibull(shape, rate = 1/scale, scale = 1/rate)
varWeibull(shape, rate = 1/scale, scale = 1/rate)
kthMomentWeibull(k, shape, rate = 1/scale, scale = 1/rate)
expValLimWeibull(d, shape, rate = 1/scale, scale = 1/rate)
expValTruncWeibull(
d,
shape,
rate = 1/scale,
scale = 1/rate,
less.than.d = TRUE
)
stopLossWeibull(d, shape, rate = 1/scale, scale = 1/rate)
meanExcessWeibull(d, shape, rate = 1/scale, scale = 1/rate)
VatRWeibull(kap, shape, rate = 1/scale, scale = 1/rate)
TVatRWeibull(kap, shape, rate = 1/scale, scale = 1/rate)
|
shape |
shape parameter tau, must be positive |
rate |
rate parameter beta, must be positive. |
scale |
alternative parameterization to the rate parameter, scale = 1 / rate. |
k |
kth-moment. |
d |
cut-off value. |
less.than.d |
logical; if |
kap |
probability. |
The Weibull distribution with shape parameter t and rate parameter b has density:
f(x) = b t (b x)^(t - 1) e^{(-b x)^t}
for x > 0, b > 0, t > 0
Function :
expValWeibull
gives the expected value.
varWeibull
gives the variance.
kthMomentWeibull
gives the kth moment.
expValLimWeibull
gives the limited mean.
expValTruncWeibull
gives the truncated mean.
stopLossWeibull
gives the stop-loss.
meanExcessWeibull
gives the mean excess loss.
VatRWeibull
gives the Value-at-Risk.
TVatRWeibull
gives the Tail Value-at-Risk.
Invalid parameter values will return an error detailing which parameter is problematic.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | # With scale parameter
expValWeibull(shape = 2, scale = 5)
# With rate parameter
expValWeibull(shape = 2, rate = 0.2)
# With scale parameter
varWeibull(shape = 2, scale = 5)
# With rate parameter
varWeibull(shape = 2, rate = 0.2)
# With scale parameter
kthMomentWeibull(k = 2, shape = 2, scale = 5)
# With rate parameter
kthMomentWeibull(k = 2, shape = 2, rate = 0.2)
# With scale parameter
expValLimWeibull(d = 2, shape = 2, scale = 5)
# With rate parameter
expValLimWeibull(d = 2, shape = 2, rate = 0.2)
# With scale parameter
expValTruncWeibull(d = 2, shape = 2, scale = 5)
# With rate parameter
expValTruncWeibull(d = 2, shape = 2, rate = 0.2)
# Mean of values greater than d
expValTruncWeibull(d = 2, shape = 2, rate = 0.2, less.than.d = FALSE)
# With scale parameter
stopLossWeibull(d = 2, shape = 3, scale = 4)
# With rate parameter
stopLossWeibull(d = 2, shape = 3, rate = 0.25)
# With scale parameter
meanExcessWeibull(d = 2, shape = 3, scale = 4)
# With rate parameter
meanExcessWeibull(d = 2, shape = 3, rate = 0.25)
# With scale parameter
VatRWeibull(kap = .2, shape = 3, scale = 4)
# With rate parameter
VatRWeibull(kap = .2, shape = 3, rate = 0.25)
# With scale parameter
TVatRWeibull(kap = .2, shape = 3, scale = 4)
# With rate parameter
TVatRWeibull(kap = .2, shape = 3, rate = 0.25)
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