1 /++ 2 This package publicly imports `mir.stat.distribution.*InvCDF` modules. 3 4 $(BOOKTABLE , 5 $(TR 6 $(TH Functions) 7 $(TH Description) 8 ) 9 $(LEADINGROW Univariate Discrete Distributions) 10 $(TR $(TDNW $(SUBREF bernoulli, bernoulliInvCDF)) $(TD Bernoulli Inverse CDF )) 11 $(TR $(TDNW $(SUBREF binomial, binomialInvCDF)) $(TD Binomial Inverse CDF )) 12 $(TR $(TDNW $(SUBREF geometric, geometricInvCDF)) $(TD Geometric Inverse CDF )) 13 $(TR $(TDNW $(SUBREF hypergeometric, hypergeometricInvCDF)) $(TD Hypergeometric Inverse CDF )) 14 $(TR $(TDNW $(SUBREF negative_binomial, negativeBinomialInvCDF)) $(TD Negative Binomial Inverse CDF )) 15 $(TR $(TDNW $(SUBREF poisson, poissonInvCDF)) $(TD Poisson Inverse CDF )) 16 $(TR $(TDNW $(SUBREF uniform_discrete, uniformDiscreteInvCDF)) $(TD Discrete Uniform Inverse CDF )) 17 $(LEADINGROW Univariate Continuous Distributions) 18 $(TR $(TDNW $(SUBREF beta, betaInvCDF)) $(TD Beta Inverse CDF )) 19 $(TR $(TDNW $(SUBREF beta_proportion, betaProportionInvCDF)) $(TD Beta Proportion Inverse CDF )) 20 $(TR $(TDNW $(SUBREF cauchy, cauchyInvCDF)) $(TD Cauchy Inverse CDF )) 21 $(TR $(TDNW $(SUBREF chi2, chi2InvCDF)) $(TD Chi-squared Inverse CDF )) 22 $(TR $(TDNW $(SUBREF exponential, exponentialInvCDF)) $(TD Exponential Inverse CDF )) 23 $(TR $(TDNW $(SUBREF f, fInvCDF)) $(TD F Inverse CDF )) 24 $(TR $(TDNW $(SUBREF gamma, gammaInvCDF)) $(TD Gamma Inverse CDF )) 25 $(TR $(TDNW $(SUBREF generalized_pareto, generalizedParetoInvCDF)) $(TD Generalized Pareto Inverse CDF )) 26 $(TR $(TDNW $(SUBREF gev, gevInvCDF)) $(TD Generalized Extreme Value (GEV) Inverse CDF )) 27 $(TR $(TDNW $(SUBREF laplace, laplaceInvCDF)) $(TD Laplace Inverse CDF )) 28 $(TR $(TDNW $(SUBREF log_normal, logNormalInvCDF)) $(TD Log-normal Inverse CDF )) 29 $(TR $(TDNW $(SUBREF logistic, logisticInvCDF)) $(TD Logistic Inverse CDF )) 30 $(TR $(TDNW $(SUBREF normal, normalInvCDF)) $(TD Normal Inverse CDF )) 31 $(TR $(TDNW $(SUBREF pareto, paretoInvCDF)) $(TD Pareto Inverse CDF )) 32 $(TR $(TDNW $(SUBREF rayleigh, rayleighInvCDF)) $(TD Rayleigh Inverse CDF )) 33 $(TR $(TDNW $(SUBREF students_t, studentsTInvCDF)) $(TD Student's t Inverse CDF )) 34 $(TR $(TDNW $(SUBREF uniform, uniformInvCDF)) $(TD Continuous Uniform Inverse CDF )) 35 $(TR $(TDNW $(SUBREF weibull, weibullInvCDF)) $(TD Weibull Inverse CDF )) 36 $(LEADINGROW Multivariate Distributions) 37 $(TR $(TDNW $(SUBREF categorical, categoricalInvCDF)) $(TD Categorical Inverse CDF )) 38 ) 39 40 License: $(HTTP www.apache.org/licenses/LICENSE-2.0, Apache-2.0) 41 42 Authors: John Michael Hall, Ilya Yaroshenko 43 44 Copyright: 2022-3 Mir Stat Authors. 45 46 Macros: 47 SUBREF = $(REF_ALTTEXT $(TT $2), $2, mir, stat, distribution, $1)$(NBSP) 48 49 +/ 50 51 module mir.stat.distribution.invcdf; 52 53 /// 54 public import mir.stat.distribution.bernoulli: bernoulliInvCDF; 55 /// 56 public import mir.stat.distribution.beta: betaInvCDF; 57 /// 58 public import mir.stat.distribution.beta_proportion: betaProportionInvCDF; 59 /// 60 public import mir.stat.distribution.binomial: binomialInvCDF; 61 /// 62 public import mir.stat.distribution.categorical: categoricalInvCDF; 63 /// 64 public import mir.stat.distribution.cauchy: cauchyInvCDF; 65 /// 66 public import mir.stat.distribution.chi2: chi2InvCDF; 67 /// 68 public import mir.stat.distribution.cornish_fisher: cornishFisherInvCDF; 69 /// 70 public import mir.stat.distribution.exponential: exponentialInvCDF; 71 /// 72 public import mir.stat.distribution.f: fInvCDF; 73 /// 74 public import mir.stat.distribution.gamma: gammaInvCDF; 75 /// 76 public import mir.stat.distribution.generalized_pareto: generalizedParetoInvCDF; 77 /// 78 public import mir.stat.distribution.geometric: geometricInvCDF; 79 /// 80 public import mir.stat.distribution.gev: gevInvCDF; 81 /// 82 public import mir.stat.distribution.hypergeometric: hypergeometricInvCDF; 83 /// 84 public import mir.stat.distribution.laplace: laplaceInvCDF; 85 /// 86 public import mir.stat.distribution.log_normal: logNormalInvCDF; 87 /// 88 public import mir.stat.distribution.logistic: logisticInvCDF; 89 /// 90 public import mir.stat.distribution.negative_binomial: negativeBinomialInvCDF; 91 /// 92 public import mir.stat.distribution.normal: normalInvCDF; 93 /// 94 public import mir.stat.distribution.pareto: paretoInvCDF; 95 /// 96 public import mir.stat.distribution.poisson: poissonInvCDF; 97 /// 98 public import mir.stat.distribution.rayleigh: rayleighInvCDF; 99 /// 100 public import mir.stat.distribution.students_t: studentsTInvCDF; 101 /// 102 public import mir.stat.distribution.uniform: uniformInvCDF; 103 /// 104 public import mir.stat.distribution.uniform_discrete: uniformDiscreteInvCDF; 105 /// 106 public import mir.stat.distribution.weibull: weibullInvCDF;