/usr/include/boost/accumulators/statistics
NameSizeModeActions
parameters/-0755rm
variates/-0755rm
count.hpp20130644editdlrm
covariance.hpp71370644editdlrm
density.hpp100070644editdlrm
error_of.hpp25880644editdlrm
error_of_mean.hpp21930644editdlrm
extended_p_square.hpp116330644editdlrm
extended_p_square_quantile.hpp125220644editdlrm
kurtosis.hpp38640644editdlrm
max.hpp22940644editdlrm
mean.hpp93340644editdlrm
median.hpp102420644editdlrm
min.hpp22940644editdlrm
moment.hpp34360644editdlrm
peaks_over_threshold.hpp175250644editdlrm
pot_quantile.hpp73360644editdlrm
pot_tail_mean.hpp78020644editdlrm
p_square_cumulative_distribution.hpp9550644editdlrm
p_square_cumul_dist.hpp103650644editdlrm
p_square_quantile.hpp100860644editdlrm
rolling_count.hpp25740644editdlrm
rolling_mean.hpp67530644editdlrm
rolling_moment.hpp37410644editdlrm
rolling_sum.hpp28710644editdlrm
rolling_variance.hpp94860644editdlrm
rolling_window.hpp72540644editdlrm
skewness.hpp36910644editdlrm
stats.hpp9720644editdlrm
sum.hpp38840644editdlrm
sum_kahan.hpp51040644editdlrm
tail.hpp110120644editdlrm
tail_mean.hpp91580644editdlrm
tail_quantile.hpp55350644editdlrm
tail_variate.hpp45040644editdlrm
tail_variate_means.hpp104630644editdlrm
times2_iterator.hpp19650644editdlrm
variance.hpp75220644editdlrm
weighted_covariance.hpp52440644editdlrm
weighted_density.hpp95180644editdlrm
weighted_extended_p_square.hpp128420644editdlrm
weighted_kurtosis.hpp41470644editdlrm
weighted_mean.hpp66370644editdlrm
weighted_median.hpp86670644editdlrm
weighted_moment.hpp33840644editdlrm
weighted_peaks_over_threshold.hpp123520644editdlrm
weighted_p_square_cumulative_distribution.hpp10090644editdlrm
weighted_p_square_cumul_dist.hpp110580644editdlrm
weighted_p_square_quantile.hpp111100644editdlrm
weighted_skewness.hpp38440644editdlrm
weighted_sum.hpp36390644editdlrm
weighted_sum_kahan.hpp45590644editdlrm
weighted_tail_mean.hpp57880644editdlrm
weighted_tail_quantile.hpp51350644editdlrm
weighted_tail_variate_means.hpp100520644editdlrm
weighted_variance.hpp67740644editdlrm
with_error.hpp12770644editdlrm
Edit: /usr/include/boost/accumulators/statistics/covariance.hpp (7137B)
/////////////////////////////////////////////////////////////////////////////// // covariance.hpp // // Copyright 2006 Daniel Egloff, Olivier Gygi. Distributed under the Boost // Software License, Version 1.0. (See accompanying file // LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt) #ifndef BOOST_ACCUMULATORS_STATISTICS_COVARIANCE_HPP_DE_01_01_2006 #define BOOST_ACCUMULATORS_STATISTICS_COVARIANCE_HPP_DE_01_01_2006 #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include namespace boost { namespace numeric { namespace functional { struct std_vector_tag; /////////////////////////////////////////////////////////////////////////////// // functional::outer_product template struct outer_product_base : functional::multiplies {}; template::type, typename RightTag = typename tag::type> struct outer_product : outer_product_base {}; template struct outer_product { typedef Left first_argument_type; typedef Right second_argument_type; typedef ublas::matrix< typename functional::multiplies< typename Left::value_type , typename Right::value_type >::result_type > result_type; result_type operator ()(Left & left, Right & right) const { std::size_t left_size = left.size(); std::size_t right_size = right.size(); result_type result(left_size, right_size); for (std::size_t i = 0; i < left_size; ++i) for (std::size_t j = 0; j < right_size; ++j) result(i,j) = numeric::multiplies(left[i], right[j]); return result; } }; } namespace op { struct outer_product : boost::detail::function2, functional::tag<_2> > > {}; } namespace { op::outer_product const &outer_product = boost::detail::pod_singleton::instance; } }} namespace boost { namespace accumulators { namespace impl { /////////////////////////////////////////////////////////////////////////////// // covariance_impl // /** @brief Covariance Estimator An iterative Monte Carlo estimator for the covariance \f$\mathrm{Cov}(X,X')\f$, where \f$X\f$ is a sample and \f$X'\f$ is a variate, is given by: \f[ \hat{c}_n = \frac{n-1}{n} \hat{c}_{n-1} + \frac{1}{n-1}(X_n - \hat{\mu}_n)(X_n' - \hat{\mu}_n'),\quad n\ge2,\quad\hat{c}_1 = 0, \f] \f$\hat{\mu}_n\f$ and \f$\hat{\mu}_n'\f$ being the means of the samples and variates. */ template struct covariance_impl : accumulator_base { typedef typename numeric::functional::fdiv::result_type sample_type; typedef typename numeric::functional::fdiv::result_type variate_type; // for boost::result_of typedef typename numeric::functional::outer_product::result_type result_type; template covariance_impl(Args const &args) : cov_( numeric::outer_product( numeric::fdiv(args[sample | Sample()], (std::size_t)1) , numeric::fdiv(args[parameter::keyword::get() | VariateType()], (std::size_t)1) ) ) { } template void operator ()(Args const &args) { std::size_t cnt = count(args); if (cnt > 1) { extractor > const some_mean_of_variates = {}; this->cov_ = this->cov_*(cnt-1.)/cnt + numeric::outer_product( some_mean_of_variates(args) - args[parameter::keyword::get()] , mean(args) - args[sample] ) / (cnt-1.); } } result_type result(dont_care) const { return this->cov_; } // make this accumulator serializeable template void serialize(Archive & ar, const unsigned int file_version) { ar & cov_; } private: result_type cov_; }; } // namespace impl /////////////////////////////////////////////////////////////////////////////// // tag::covariance // namespace tag { template struct covariance : depends_on > { typedef accumulators::impl::covariance_impl impl; }; struct abstract_covariance : depends_on<> { }; } /////////////////////////////////////////////////////////////////////////////// // extract::covariance // namespace extract { extractor const covariance = {}; BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) } using extract::covariance; template struct feature_of > : feature_of { }; // So that covariance can be automatically substituted with // weighted_covariance when the weight parameter is non-void. template struct as_weighted_feature > { typedef tag::weighted_covariance type; }; template struct feature_of > : feature_of > {}; }} // namespace boost::accumulators #endif