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Stan
2.10.0
probability, sampling & optimization
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#include <stan/io/stan_csv_reader.hpp>
#include <stan/math/prim/mat/fun/variance.hpp>
#include <stan/math/prim/arr/meta/index_type.hpp>
#include <stan/math/prim/mat/meta/index_type.hpp>
#include <stan/math/prim/scal/meta/index_type.hpp>
#include <stan/math/prim/mat/fun/autocorrelation.hpp>
#include <stan/math/prim/mat/fun/autocovariance.hpp>
#include <boost/accumulators/accumulators.hpp>
#include <boost/accumulators/statistics/stats.hpp>
#include <boost/accumulators/statistics/mean.hpp>
#include <boost/accumulators/statistics/tail_quantile.hpp>
#include <boost/accumulators/statistics/p_square_quantile.hpp>
#include <boost/accumulators/statistics/variance.hpp>
#include <boost/accumulators/statistics/covariance.hpp>
#include <boost/accumulators/statistics/variates/covariate.hpp>
#include <boost/random/uniform_int_distribution.hpp>
#include <boost/random/additive_combine.hpp>
#include <algorithm>
#include <cmath>
#include <iostream>
#include <map>
#include <stdexcept>
#include <string>
#include <sstream>
#include <utility>
#include <vector>
#include <cstdlib>
Go to the source code of this file.
Classes | |
class | stan::mcmc::chains< RNG > |
An mcmc::chains object stores parameter names and dimensionalities along with samples from multiple chains. More... | |
Namespaces | |
stan | |
Probability, optimization and sampling library. | |
stan::mcmc | |
Markov chain Monte Carlo samplers. | |