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module Distribution
module Normal
# TODO
module Java_
class << self
#==
# Generate random variables from the provided distribution
def rng(mean = 0, sigma = 1, _seed = nil)
dist = NormalDistributionImpl.new(mean, sigma)
-> { dist.sample }
end
#==
# Return the probability density function at x
def pdf(x)
dist = NormalDistributionImpl.new
dist.density(x)
end
#==
# Return the cumulative density function at x
def cdf(x)
dist = NormalDistributionImpl.new
dist.cumulativeProbability(x)
end
#==
# Get the inverse cumulative density function (p-value) for qn
def quantile(qn)
dist = NormalDistributionImpl.new
dist.inverseCumulativeProbability(qn)
end
alias_method :p_value, :quantile
end
end
end
end
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