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Implemented methods

Base.rand — Function
rand(d::LogisticBeta[, n::Integer])

Draw n random numbers from the logistic-beta distribution d.

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Distributions.pdf — Function
pdf(d::LogisticBeta, x::Real)

Compute the pdf of the logistic-beta distribution d at x.

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Distributions.logpdf — Function
logpdf(d::LogisticBeta, x::Real)

Compute the logpdf of the logistic-beta distribution d at x.

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Distributions.cdf — Function
cdf(d::LogisticBeta, x::Real)

Compute the cdf of the logistic-beta distribution d at x.

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Statistics.quantile — Function

quantile(d::LogisticBeta, p::Real)

Compute the p-quantile of the logistic-beta distribution d.

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Statistics.mean — Function

mean(d::LogisticBeta)

Compute the mean of the logistic-beta distribution d.

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StatsBase.mode — Function

mode(d::LogisticBeta)

Compute the mode of the logistic-beta distribution d.

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Statistics.var — Function

var(d::LogisticBeta)

Compute the variance of the logistic-beta distribution d.

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Statistics.std — Function

std(d::LogisticBeta)

Compute the standard deviation of the logistic-beta distribution d.

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StatsBase.skewness — Function

skewness(d::LogisticBeta)

Compute the skewness of the logistic-beta distribution d.

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