hara.math.stats.distribution — hara/math 3.0.6

+distributions+ clj

+distributions-map+ clj

ansari clj

(ansari m n)

arcsine clj

(arcsine a b)

beta clj

(beta a b)

beta-binomial clj

(beta-binomial mu sigma bd)

beta-prime clj

(beta-prime a b)

binomial clj

(binomial n p)

cauchy clj

(cauchy location scale)

chi clj

(chi df)

chi-square clj

(chi-square df)

create-distribution-form clj

(create-distribution-form [cls params])

creates the defn form for a particular distribution

(create-distribution-form [net.sourceforge.jdistlib.Wilcoxon [:m :n]]) => '(defn wilcoxon [m n] (net.sourceforge.jdistlib.Wilcoxon. m n))

create-distributions clj

(create-distributions)

(create-distributions dists)

creates all methods for constructing distributions

(create-distributions)

cumulative clj

(cumulative dist x)

returns the cumulative density for the distribution

(cumulative (laplace 1 2) 4) => 0.888434919925785

(cumulative (binomial 10 0.3) [1 2 3]) => [0.14930834590000003 0.38278278639999974 0.6496107184000002]

exponential clj

(exponential scale)

extreme clj

(extreme dist mlen largest)

f clj

(f df1 df2)

fn-name clj

(fn-name cls)

creates a function name based on class

(fn-name net.sourceforge.jdistlib.evd.Order) => "order"

fretchet clj

(fretchet loc scale shape)

gamma clj

(gamma scale shape)

generalized-pareto clj

(generalized-pareto loc scale shape)

geometric clj

(geometric p)

gev clj

(gev loc scale shape)

gumbel clj

(gumbel loc scale)

hyper-geometric clj

(hyper-geometric r b n)

inv-gamma clj

(inv-gamma shape scale)

inv-normal clj

(inv-normal mu sigma)

kendall clj

(kendall n)

kumaraswamy clj

(kumaraswamy a b)

laplace clj

(laplace location scale)

levy clj

(levy mu sigma)

log-normal clj

(log-normal meanlog sdlog)

logarithmic clj

(logarithmic mu)

logistic clj

(logistic location scale)

nakagami clj

(nakagami m omega)

neg-binomial clj

(neg-binomial prob size)

non-central-beta clj

(non-central-beta a b ncp)

non-central-chi-square clj

(non-central-chi-square df ncp)

non-central-f clj

(non-central-f df1 df2 ncp)

non-central-t clj

(non-central-t df ncp)

normal clj

(normal mu sigma)

order clj

(order dist mlen j largest)

poisson clj

(poisson lambda)

probability clj

(probability dist x)

returns the probability density for the distribution

(probability (laplace 1 2) 4) => 0.05578254003710745

(probability (binomial 10 0.3) [1 2 3]) => [0.1210608209999997 0.2334744405000001 0.26682793199999993]

random-sample clj

(random-sample dist)

gives a random sample from distribution

(random-sample (laplace 1 2)) ;; 1.9528692108205805 => number?

rayleigh clj

(rayleigh scale)

reverse-weibull clj

(reverse-weibull loc scale shape)

sign-rank clj

(sign-rank n)

skewed-t clj

(skewed-t df gamma)

spearman clj

(spearman n)

t clj

(t df)

tukey clj

(tukey rr cc df)

uniform clj

(uniform a b)

weibull clj

(weibull shape scale)

wilcoxon clj

(wilcoxon m n)

zipf clj

(zipf N s)