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STatistiK.h
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1/*--------------------------------------------------------------------*/
2/* Copyright (C) 2004-2016 Serge Iovleff, Université Lille 1, Inria
3
4 This program is free software; you can redistribute it and/or modify
5 it under the terms of the GNU Lesser General Public License as
6 published by the Free Software Foundation; either version 2 of the
7 License, or (at your option) any later version.
8
9 This program is distributed in the hope that it will be useful,
10 but WITHOUT ANY WARRANTY; without even the implied warranty of
11 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 GNU Lesser General Public License for more details.
13
14 You should have received a copy of the GNU Lesser General Public
15 License along with this program; if not, write to the
16 Free Software Foundation, Inc.,
17 59 Temple Place,
18 Suite 330,
19 Boston, MA 02111-1307
20 USA
21
22 Contact : S..._Dot_I..._At_stkpp_Dot_org (see copyright for ...)
23*/
24
25/*
26 * Project: stkpp::STatistiK
27 * Purpose: Primary include file for STatistiK project.
28 * Author: Serge Iovleff, S..._Dot_I..._At_stkpp_Dot_org (see copyright for ...)
29 **/
30
85#ifndef STATISTIK_H
86#define STATISTIK_H
87
88// probabilities laws
89#include <STatistiK/include/STK_Law_Util.h>
90
91// random number generators
92#include <STatistiK/include/MersenneTwister.h>
93#include <STatistiK/include/STK_RandBase.h>
94
95// namespace Law
96#include <STatistiK/include/STK_Law_Bernoulli.h>
97#include <STatistiK/include/STK_Law_Beta.h>
98#include <STatistiK/include/STK_Law_Binomial.h>
99#include <STatistiK/include/STK_Law_Categorical.h>
100#include <STatistiK/include/STK_Law_Cauchy.h>
101#include <STatistiK/include/STK_Law_ChiSquared.h>
102#include <STatistiK/include/STK_Law_Exponential.h>
103#include <STatistiK/include/STK_Law_FisherSnedecor.h>
104#include <STatistiK/include/STK_Law_Gamma.h>
105#include <STatistiK/include/STK_Law_Geometric.h>
106#include <STatistiK/include/STK_Law_HyperGeometric.h>
107#include <STatistiK/include/STK_Law_Logistic.h>
108#include <STatistiK/include/STK_Law_LogNormal.h>
109#include <STatistiK/include/STK_Law_NegativeBinomial.h>
110#include <STatistiK/include/STK_Law_Normal.h>
111#include <STatistiK/include/STK_Law_Poisson.h>
112#include <STatistiK/include/STK_Law_Student.h>
113#include <STatistiK/include/STK_Law_Uniform.h>
114#include <STatistiK/include/STK_Law_UniformDiscrete.h>
115#include <STatistiK/include/STK_Law_Weibull.h>
116
117#include <STatistiK/include/STK_MultiLaw_Normal.h>
118#include <STatistiK/include/STK_MultiLaw_JointBernoulli.h>
119#include <STatistiK/include/STK_MultiLaw_JointCauchy.h>
120#include <STatistiK/include/STK_MultiLaw_JointNormal.h>
121#include <STatistiK/include/STK_MultiLaw_JointGamma.h>
122
123#include <STatistiK/include/STK_Stat_Functors.h>
124#include <STatistiK/include/STK_Stat_UnivariateReal.h>
125
126// bivariate Statistics
127#include <STatistiK/include/STK_Stat_Bivariate.h>
128#include <STatistiK/include/STK_Stat_Covariance.h>
129
130// Multivariate Statistics
131#include <STatistiK/include/STK_Stat_Multivariate.h>
132#include <STatistiK/include/STK_Stat_MultivariateReal.h>
133
134// perform the usual Computations on categorical variables
135#include <STatistiK/include/STK_Stat_Factor.h>
136#include <STatistiK/include/STK_Stat_MultiFactor.h>
137#include <STatistiK/include/STK_Stat_ConfusionMatrix.h>
138#include <STatistiK/include/STK_Stat_Transform.h>
139
140// Kernels
141#include <STatistiK/include/STK_Kernel_Util.h>
142
143#include <STatistiK/include/STK_Kernel_Gaussian.h>
144#include <STatistiK/include/STK_Kernel_Laplace.h>
145#include <STatistiK/include/STK_Kernel_Linear.h>
146#include <STatistiK/include/STK_Kernel_Polynomial.h>
147#include <STatistiK/include/STK_Kernel_RationalQuadratic.h>
148#include <STatistiK/include/STK_Kernel_Hamming.h>
149
150#endif /*STATISTIK_H*/
151
STK_Kernel_Gaussian.h
In this file we define the class and methods for computing a Gaussian Kernel.
STK_Kernel_Hamming.h
In this file we define the class and methods for computing a Hamming Kernel.
STK_Kernel_Laplace.h
In this file we define the class and methods for computing a Laplace Kernel.
STK_Kernel_Linear.h
In this file we define the class and methods for computing a Linear Kernel.
STK_Kernel_Polynomial.h
In this file we define the class and methods for computing a Polynomial Kernel.
STK_Kernel_RationalQuadratic.h
In this file we define the class and methods for computing a RationalQuadratic Kernel.
STK_Kernel_Util.h
In this file we define the enum and utilites method for the kernels.
STK_Law_Bernoulli.h
In this file we define the Bernoulli distribution.
STK_Law_Beta.h
In this file we define the Beta probability distribution.
STK_Law_Binomial.h
In this file we define the Binomial distribution.
STK_Law_Categorical.h
In this file we define the Categorical distribution.
STK_Law_Cauchy.h
In this file we define the Cauchy probability distribution.
STK_Law_ChiSquared.h
In this file we define the ChiSquared probability distribution.
STK_Law_Exponential.h
In this file we implement the exponential law.
STK_Law_FisherSnedecor.h
In this file we define the FisherSnedecor probability distribution.
STK_Law_Gamma.h
In this file we define the Gamma probability distribution.
STK_Law_Geometric.h
In this file we define the Geometric distribution.
STK_Law_HyperGeometric.h
In this file we define the HyperGeometric distribution.
STK_Law_LogNormal.h
In this file we define the LogNormal probability law class.
STK_Law_Logistic.h
In this file we define the Logistic probability law class.
STK_Law_NegativeBinomial.h
In this file we define the NegativeBinomial distribution.
STK_Law_Normal.h
In this file we define the Normal probability law class.
STK_Law_Poisson.h
In this file we define the Poisson distribution.
STK_Law_Student.h
In this file we define the Student probability distribution.
STK_Law_UniformDiscrete.h
In this file we implement the uniform (discrete) law.
STK_Law_Uniform.h
In this file we implement the (continuous) uniform distribution law.
STK_Law_Util.h
In this file we define the utilities constant and method for the Law namespace.
STK_Law_Weibull.h
In this file we define the Weibull probability distribution.
STK_MultiLaw_JointBernoulli.h
In this file we define the joint Bernoulli distribution law.
STK_MultiLaw_JointCauchy.h
In this file we define the joint Cauchy probability law.
STK_MultiLaw_JointGamma.h
In this file we define the joint Gamma probability law.
STK_MultiLaw_JointNormal.h
In this file we define the joint Normal probability law.
STK_MultiLaw_Normal.h
In this file we define the multivariate Normal law.
STK_RandBase.h
Declaration of the RandBase class.
STK_Stat_Bivariate.h
This file contain the declaration of the class Bivariate.
STK_Stat_ConfusionMatrix.h
This file contain the function confusionMatrix.
STK_Stat_Covariance.h
This file contains the methods computing the covariance of an array.
STK_Stat_Factor.h
In this file we define and implement the Factor class.
STK_Stat_Functors.h
This file contain the functors computings statistics.
STK_Stat_MultiFactor.h
In this file we define and implement the MultiFactor class.
STK_Stat_MultivariateReal.h
In this file we specialize the class Multivariate to Real type.
STK_Stat_Multivariate.h
This file contain the declaration of the base class Multivariate.
STK_Stat_Transform.h
In this file we implement the main transformation on data set.
STK_Stat_UnivariateReal.h
This file contain the specialization of the class Univariate for the Real Type.