- bernoulliCDF (from mir.stat.distribution.bernoulli)
T bernoulliCDF(bool x, T p) via public
import mir.stat.distribution.bernoulli : bernoulliCDF;
- betaCDF (from mir.stat.distribution.beta)
T betaCDF(T x, T alpha, T beta) via public
import mir.stat.distribution.beta : betaCDF;
- betaProportionCDF (from mir.stat.distribution.beta_proportion)
T betaProportionCDF(T x, T mu, T kappa) via public
import mir.stat.distribution.beta_proportion : betaProportionCDF;
- categoricalCDF (from mir.stat.distribution.categorical)
T categoricalCDF(size_t x, T[] p) via public
import mir.stat.distribution.categorical : categoricalCDF;
- cauchyCDF (from mir.stat.distribution.cauchy)
T cauchyCDF(T x, T location, T scale) via public
import mir.stat.distribution.cauchy : cauchyCDF;
- chi2CDF (from mir.stat.distribution.chi2)
T chi2CDF(T x, uint k) via public
import mir.stat.distribution.chi2 : chi2CDF;
- exponentialCDF (from mir.stat.distribution.exponential)
T exponentialCDF(T x, T lambda) via public
import mir.stat.distribution.exponential : exponentialCDF;
- fCDF (from mir.stat.distribution.f)
T fCDF(T x, T df1, T df2) via public
import mir.stat.distribution.f : fCDF;
- gammaCDF (from mir.stat.distribution.gamma)
T gammaCDF(T x, T shape, T scale) via public
import mir.stat.distribution.gamma : gammaCDF;
- generalizedParetoCDF (from mir.stat.distribution.generalized_pareto)
T generalizedParetoCDF(T x, T mu, T sigma, T xi) via public
import mir.stat.distribution.generalized_pareto : generalizedParetoCDF;
- geometricCDF (from mir.stat.distribution.geometric)
T geometricCDF(T x, T p) via public
import mir.stat.distribution.geometric : geometricCDF;
- gevCDF (from mir.stat.distribution.gev)
T gevCDF(T x, T mu, T sigma, T xi) via public
import mir.stat.distribution.gev : gevCDF;
- laplaceCDF (from mir.stat.distribution.laplace)
T laplaceCDF(T x, T location, T scale) via public
import mir.stat.distribution.laplace : laplaceCDF;
- logNormalCDF (from mir.stat.distribution.log_normal)
T logNormalCDF(T x, T mean, T stdDev) via public
import mir.stat.distribution.log_normal : logNormalCDF;
- logisticCDF (from mir.stat.distribution.logistic)
T logisticCDF(T x, T location, T scale) via public
import mir.stat.distribution.logistic : logisticCDF;
- negativeBinomialCDF (from mir.stat.distribution.negative_binomial)
T negativeBinomialCDF(size_t k, size_t r, T p) via public
import mir.stat.distribution.negative_binomial : negativeBinomialCDF;
- paretoCDF (from mir.stat.distribution.pareto)
T paretoCDF(T x, T xMin, T alpha) via public
import mir.stat.distribution.pareto : paretoCDF;
- rayleighCDF (from mir.stat.distribution.rayleigh)
T rayleighCDF(T x, T scale) via public
import mir.stat.distribution.rayleigh : rayleighCDF;
- studentsTCDF (from mir.stat.distribution.students_t)
T studentsTCDF(T x, T nu, T mean, T stdDev) via public
import mir.stat.distribution.students_t : studentsTCDF;
- uniformCDF (from mir.stat.distribution.uniform)
T uniformCDF(T x, T lower, T upper) via public
import mir.stat.distribution.uniform : uniformCDF;
- uniformDiscreteCDF (from mir.stat.distribution.uniform_discrete)
double uniformDiscreteCDF(size_t x, size_t lower, size_t upper) via public
import mir.stat.distribution.uniform_discrete : uniformDiscreteCDF;
- weibullCDF (from mir.stat.distribution.weibull)
T weibullCDF(T x, T shape, T scale) via public
import mir.stat.distribution.weibull : weibullCDF;
This package publicly imports mir.stat.distribution.*CDF modules.