kixi.stats.distribution
bernoulliclj/s
(bernoulli p)Returns a Bernoulli distribution. Params: p ∈ [0 1]
Returns a Bernoulli distribution. Params: p ∈ [0 1]
betaclj/s
(beta {:keys [alpha beta] :or {alpha 1.0 beta 1.0}})Returns a beta distribution. Params: {:alpha ∈ ℝ, :beta ∈ ℝ}
Returns a beta distribution.
Params: {:alpha ∈ ℝ, :beta ∈ ℝ}beta-binomialclj/s
(beta-binomial n {:keys [alpha beta] :or {alpha 1.0 beta 1.0}})Returns a beta distribution. Params: n ∈ ℕ, {:alpha ∈ ℝ, :beta ∈ ℝ}
Returns a beta distribution.
Params: n ∈ ℕ, {:alpha ∈ ℝ, :beta ∈ ℝ}binomialclj/s
(binomial {:keys [n p]})Return a binomial distribution. Params: {:n ∈ ℕ, :p ∈ [0 1]}
Return a binomial distribution.
Params: {:n ∈ ℕ, :p ∈ [0 1]}categoricalclj/s
(categorical ks ps)Returns a categorical distribution. Params: [k1, ..., kn], [p1, ..., pn] where k1...kn are the categories and p1...pn are probabilities. Probabilities should be >= 0 and sum to 1
Returns a categorical distribution. Params: [k1, ..., kn], [p1, ..., pn] where k1...kn are the categories and p1...pn are probabilities. Probabilities should be >= 0 and sum to 1
chi-squaredclj/s
(chi-squared k)Returns a chi-squared distribution. Params: k ∈ ℕ > 0
Returns a chi-squared distribution. Params: k ∈ ℕ > 0
dirichletclj/s
(dirichlet as)Returns a Dirichlet distribution. Params: [a1...an] ∈ ℝ >= 0
Returns a Dirichlet distribution. Params: [a1...an] ∈ ℝ >= 0
dirichlet-multinomialclj/s
(dirichlet-multinomial n as)Returns a Dirichlet-multinomial distribution. Params: n ∈ ℕ, [a1...an] ∈ ℝ >= 0
Returns a Dirichlet-multinomial distribution. Params: n ∈ ℕ, [a1...an] ∈ ℝ >= 0
drawclj/s
(draw distribution)(draw distribution {:keys [seed]})Returns a single variate from the distribution. An optional seed long will ensure deterministic results
Returns a single variate from the distribution. An optional seed long will ensure deterministic results
exponentialclj/s
(exponential rate)Returns an exponential distribution. Params: rate ∈ ℝ > 0
Returns an exponential distribution. Params: rate ∈ ℝ > 0
fclj/s
(f d1 d2)Returns an F distribution. Params: d1 ∈ ℕ > 0, d2 ∈ ℕ > 0
Returns an F distribution. Params: d1 ∈ ℕ > 0, d2 ∈ ℕ > 0
gammaclj/s
(gamma {:keys [shape scale] :or {shape 1.0 scale 1.0}})Returns a gamma distribution. Params: {:shape ∈ ℝ, :scale ∈ ℝ}
Returns a gamma distribution.
Params: {:shape ∈ ℝ, :scale ∈ ℝ}IBoundedclj/s≠protocol
maximumclj/s
(maximum this)Returns the maximum x
Returns the maximum x
minimumclj/s
(minimum this)Returns the minimum x
Returns the minimum x
iqrclj/s
(iqr distribution)Returns the interquartile range
Returns the interquartile range
IQuantileclj/s≠protocol
quantileclj/s
(quantile this p)Returns the x for a given cumulative probability
Returns the x for a given cumulative probability
cdfclj/s
(cdf this x)Returns the cumulative probability for a given x
Returns the cumulative probability for a given x
multinomialclj/s
(multinomial n ps)Returns a multinomial distribution. Params: n ∈ ℕ > 0, [p1, ..., pn] where p1...pn are probabilities. Probabilities should be >= 0 and sum to 1
Returns a multinomial distribution. Params: n ∈ ℕ > 0, [p1, ..., pn] where p1...pn are probabilities. Probabilities should be >= 0 and sum to 1
normalclj/s
(normal {:keys [mu sd]})Returns a normal distribution. Params: {:mu ∈ ℝ, :sd ∈ ℝ}
Returns a normal distribution.
Params: {:mu ∈ ℝ, :sd ∈ ℝ}poissonclj/s
(poisson lambda)Returns a Poisson distribution. Params: lambda ∈ ℝ > 0
Returns a Poisson distribution. Params: lambda ∈ ℝ > 0
sampleclj/s
(sample n distribution)(sample n distribution {:keys [seed]})Returns n variates from the distribution. An optional seed long will ensure deterministic results
Returns n variates from the distribution. An optional seed long will ensure deterministic results
sample-summaryclj/s
(sample-summary n distribution)(sample-summary n distribution {:keys [seed]})Returns a summary count of each variate for a sample of a given length from a discrete distribution such as the Bernoulli, binomial or categorical. An optional seed long will ensure deterministic results
Returns a summary count of each variate for a sample of a given length from a discrete distribution such as the Bernoulli, binomial or categorical. An optional seed long will ensure deterministic results
summaryclj/s
(summary distribution)Returns the 5-number distribution summary and the interquartile range.
Returns the 5-number distribution summary and the interquartile range.
uniformclj/s
(uniform a b)Returns a uniform distribution. Params: a ∈ ℝ, b ∈ ℝ
Returns a uniform distribution. Params: a ∈ ℝ, b ∈ ℝ
weibullclj/s
(weibull {:keys [shape scale] :or {shape 1.0 scale 1.0}})Returns a weibull distribution. Params: {:shape ∈ ℝ >= 0, :scale ∈ ℝ >= 0}
Returns a weibull distribution.
Params: {:shape ∈ ℝ >= 0, :scale ∈ ℝ >= 0}cljdoc is a website building & hosting documentation for Clojure/Script libraries
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