automaton-optimization.randomness.impl.distribution.kixi-stats
Proxy for kixi-stats distributions.
See the github repo.
Proxy for kixi-stats distributions. See the [github repo](https://github.com/MastodonC/kixi.stats).
make-bernoulliclj/s
(make-bernoulli p)Returns a Bernoulli distribution. {:p ∈ [0 1]}.
Returns a Bernoulli distribution. `{:p ∈ [0 1]}`.
make-betaclj/s
(make-beta alpha beta)Returns a beta distribution. {:alpha ∈ ℝ > 0, :beta ∈ ℝ > 0}.
Returns a beta distribution. `{:alpha ∈ ℝ > 0, :beta ∈ ℝ > 0}`.
make-beta-binomialclj/s
(make-beta-binomial n alpha beta)Returns a beta distribution. {:n ∈ ℕ > 0, :alpha ∈ ℝ > 0, :beta ∈ ℝ > 0}.
Returns a beta distribution. `{:n ∈ ℕ > 0, :alpha ∈ ℝ > 0, :beta ∈ ℝ > 0}`.
make-binomialclj/s
(make-binomial n p)Return a binomial distribution. {:n ∈ ℕ, :p ∈ [0 1]}.
Return a binomial distribution. `{:n ∈ ℕ, :p ∈ [0 1]}`.
make-categoricalclj/s
(make-categorical category-probabilities)Returns a categorical distribution. {[category] [probability], ...} Probabilities should be >= 0 and sum to 1.
Returns a categorical distribution. `{[category] [probability], ...}` Probabilities should be >= 0 and sum to 1.
make-cauchyclj/s
(make-cauchy location scale)Returns a Cauchy distribution. {:location ∈ ℝ, :scale ∈ ℝ > 0}.
Returns a Cauchy distribution. `{:location ∈ ℝ, :scale ∈ ℝ > 0}`.
make-chi-squaredclj/s
(make-chi-squared k)Returns a chi-squared distribution. {:k ∈ ℕ > 0}.
Returns a chi-squared distribution. `{:k ∈ ℕ > 0}`.
make-dirichletclj/s
(make-dirichlet alphas)Returns a Dirichlet distribution. {:alphas [ℝ >= 0, ...]}.
Returns a Dirichlet distribution. `{:alphas [ℝ >= 0, ...]}`.
make-dirichlet-multinomialclj/s
(make-dirichlet-multinomial n alphas)Returns a Dirichlet-multinomial distribution. {:n ∈ ℕ, :alphas [ℝ >= 0, ...]}.
Returns a Dirichlet-multinomial distribution. `{:n ∈ ℕ, :alphas [ℝ >= 0, ...]}`.
make-exponentialclj/s
(make-exponential rate)Returns an exponential distribution. {:rate ∈ ℝ > 0}.
Returns an exponential distribution. `{:rate ∈ ℝ > 0}`.
make-fclj/s
(make-f d1 d2)Returns an F distribution. {:d1 ∈ ℝ > 0, :d2 ∈ ℝ > 0}.
Returns an F distribution. `{:d1 ∈ ℝ > 0, :d2 ∈ ℝ > 0}`.
make-gamma-rateclj/s
(make-gamma-rate shape rate)Returns a gamma distribution. {:shape ∈ ℝ > 0, :rate ∈ ℝ > 0}.
Returns a gamma distribution. `{:shape ∈ ℝ > 0, :rate ∈ ℝ > 0}`.
make-gamma-scaleclj/s
(make-gamma-scale shape scale)Returns a gamma distribution. {:shape ∈ ℝ > 0, :scale ∈ ℝ > 0}.
Returns a gamma distribution. `{:shape ∈ ℝ > 0, :scale ∈ ℝ > 0}`.
make-log-normalclj/s
(make-log-normal location scale)Returns a Log-normal distribution. The parameters are the log of the mean and sd of this distribution. {:location ∈ ℝ, :scale ∈ ℝ > 0}.
Returns a Log-normal distribution. The parameters are the log of the mean and sd of this distribution. `{:location ∈ ℝ, :scale ∈ ℝ > 0}`.
make-multinomialclj/s
(make-multinomial n probs)Returns a multinomial distribution. {:n ∈ ℕ > 0, :probs [ℝ >= 0, ...]} Probabilities should be >= 0 and sum to 1.
Returns a multinomial distribution. `{:n ∈ ℕ > 0, :probs [ℝ >= 0, ...]}` Probabilities should be >= 0 and sum to 1.
make-normalclj/s
(make-normal location scale)Returns a normal distribution. {:location ∈ ℝ, :scale ∈ ℝ > 0}.
Returns a normal distribution. `{:location ∈ ℝ, :scale ∈ ℝ > 0}`.
make-paretoclj/s
(make-pareto scale shape)Returns a Pareto distribution. {:scale ∈ ℝ > 0, :shape ∈ ℝ > 0}.
Returns a Pareto distribution. `{:scale ∈ ℝ > 0, :shape ∈ ℝ > 0}`.
make-poissonclj/s
(make-poisson lambda)Returns a Poisson distribution. {:lambda ∈ ℝ > 0}.
Returns a Poisson distribution. `{:lambda ∈ ℝ > 0}`.
make-tclj/s
(make-t v)Returns a t distribution. {:v ∈ ℝ > 0}.
Returns a t distribution. `{:v ∈ ℝ > 0}`.
make-uniformclj/s
(make-uniform a b)Returns a uniform distribution. {:a ∈ ℝ, :b ∈ ℝ, :a < :b}.
Returns a uniform distribution. `{:a ∈ ℝ, :b ∈ ℝ, :a < :b}`.
make-weibullclj/s
(make-weibull scale shape)Returns a weibull distribution. {:shape ∈ ℝ >= 0, :scale ∈ ℝ >= 0}.
Returns a weibull distribution. `{:shape ∈ ℝ >= 0, :scale ∈ ℝ >= 0}`.
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