mir.stat.distribution.invcdf

Members

Functions

bernoulliInvCDF (from mir.stat.distribution.bernoulli)

bool bernoulliInvCDF(T q, T p) via public import mir.stat.distribution.bernoulli : bernoulliInvCDF;

betaInvCDF (from mir.stat.distribution.beta)

T betaInvCDF(T p, T alpha, T beta) via public import mir.stat.distribution.beta : betaInvCDF;

betaProportionInvCDF (from mir.stat.distribution.beta_proportion)

T betaProportionInvCDF(T p, T mu, T kappa) via public import mir.stat.distribution.beta_proportion : betaProportionInvCDF;

categoricalInvCDF (from mir.stat.distribution.categorical)

size_t categoricalInvCDF(T q, T[] p) via public import mir.stat.distribution.categorical : categoricalInvCDF;

cauchyInvCDF (from mir.stat.distribution.cauchy)

T cauchyInvCDF(T p, T location, T scale) via public import mir.stat.distribution.cauchy : cauchyInvCDF;

chi2InvCDF (from mir.stat.distribution.chi2)

T chi2InvCDF(T p, uint k) via public import mir.stat.distribution.chi2 : chi2InvCDF;

cornishFisherInvCDF (from mir.stat.distribution.cornish_fisher)

T cornishFisherInvCDF(T p, T skewness, T excessKurtosis) via public import mir.stat.distribution.cornish_fisher : cornishFisherInvCDF;

exponentialInvCDF (from mir.stat.distribution.exponential)

T exponentialInvCDF(T p, T lambda) via public import mir.stat.distribution.exponential : exponentialInvCDF;

fInvCDF (from mir.stat.distribution.f)

T fInvCDF(T p, T df1, T df2) via public import mir.stat.distribution.f : fInvCDF;

gammaInvCDF (from mir.stat.distribution.gamma)

T gammaInvCDF(T p, T shape, T scale) via public import mir.stat.distribution.gamma : gammaInvCDF;

generalizedParetoInvCDF (from mir.stat.distribution.generalized_pareto)

T generalizedParetoInvCDF(T p, T mu, T sigma, T xi) via public import mir.stat.distribution.generalized_pareto : generalizedParetoInvCDF;

geometricInvCDF (from mir.stat.distribution.geometric)

T geometricInvCDF(T q, T p) via public import mir.stat.distribution.geometric : geometricInvCDF;

gevInvCDF (from mir.stat.distribution.gev)

T gevInvCDF(T p, T mu, T sigma, T xi) via public import mir.stat.distribution.gev : gevInvCDF;

laplaceInvCDF (from mir.stat.distribution.laplace)

T laplaceInvCDF(T p, T location, T scale) via public import mir.stat.distribution.laplace : laplaceInvCDF;

logNormalInvCDF (from mir.stat.distribution.log_normal)

T logNormalInvCDF(T p, T mean, T stdDev) via public import mir.stat.distribution.log_normal : logNormalInvCDF;

logisticInvCDF (from mir.stat.distribution.logistic)

T logisticInvCDF(T p, T location, T scale) via public import mir.stat.distribution.logistic : logisticInvCDF;

negativeBinomialInvCDF (from mir.stat.distribution.negative_binomial)

size_t negativeBinomialInvCDF(T q, size_t r, T p) via public import mir.stat.distribution.negative_binomial : negativeBinomialInvCDF;

paretoInvCDF (from mir.stat.distribution.pareto)

T paretoInvCDF(T p, T xMin, T alpha) via public import mir.stat.distribution.pareto : paretoInvCDF;

rayleighInvCDF (from mir.stat.distribution.rayleigh)

T rayleighInvCDF(T p, T scale) via public import mir.stat.distribution.rayleigh : rayleighInvCDF;

studentsTInvCDF (from mir.stat.distribution.students_t)

T studentsTInvCDF(T p, T nu, T mean, T stdDev) via public import mir.stat.distribution.students_t : studentsTInvCDF;

uniformDiscreteInvCDF (from mir.stat.distribution.uniform_discrete)

size_t uniformDiscreteInvCDF(T p, size_t lower, size_t upper) via public import mir.stat.distribution.uniform_discrete : uniformDiscreteInvCDF;

uniformInvCDF (from mir.stat.distribution.uniform)

T uniformInvCDF(T p, T lower, T upper) via public import mir.stat.distribution.uniform : uniformInvCDF;

weibullInvCDF (from mir.stat.distribution.weibull)

T weibullInvCDF(T p, T shape, T scale) via public import mir.stat.distribution.weibull : weibullInvCDF;

Imports

normalInvCDF (from mir.stat.distribution.normal)

public import mir.stat.distribution.normal : normalInvCDF;

Templates

binomialInvCDF (from mir.stat.distribution.binomial)

template binomialInvCDF(string binomialAlgo, string poissonAlgo = "direct") via public import mir.stat.distribution.binomial : binomialInvCDF;

hypergeometricInvCDF (from mir.stat.distribution.hypergeometric)

template hypergeometricInvCDF(string hypergeometricAlgo) via public import mir.stat.distribution.hypergeometric : hypergeometricInvCDF;

poissonInvCDF (from mir.stat.distribution.poisson)

template poissonInvCDF(string poissonAlgo) via public import mir.stat.distribution.poisson : poissonInvCDF;

• bernoulli
• beta
• beta_proportion
• binomial
• categorical
• cauchy
• cdf
• chi2
• cornish_fisher
• exponential
• f
• gamma
• generalized_pareto
• geometric
• gev
• hypergeometric
• invcdf
• laplace
• log_normal
• logistic
• negative_binomial
• normal
• pareto
• pdf
• poisson
• rayleigh
• students_t
• uniform
• uniform_discrete
• weibull