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2.5.0
probability, sampling & optimization
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- m -
matrix() :
stan::io::reader< T >
matrix_constrain() :
stan::io::reader< T >
matrix_lb() :
stan::io::reader< T >
matrix_lb_constrain() :
stan::io::reader< T >
matrix_lb_unconstrain() :
stan::io::writer< T >
matrix_lub() :
stan::io::reader< T >
matrix_lub_constrain() :
stan::io::reader< T >
matrix_lub_unconstrain() :
stan::io::writer< T >
matrix_ub() :
stan::io::reader< T >
matrix_ub_constrain() :
stan::io::reader< T >
matrix_ub_unconstrain() :
stan::io::writer< T >
matrix_unconstrain() :
stan::io::writer< T >
matrix_var_decl() :
stan::gm::matrix_var_decl
matrixLDLT() :
stan::math::LDLT_factor< T, R, C >
max() :
std::numeric_limits< stan::agrad::fvar< T > >
,
std::numeric_limits< stan::agrad::var >
mcmc_writer() :
stan::io::mcmc_writer< M, SampleRecorder, DiagnosticRecorder, MessageRecorder >
mean() :
stan::mcmc::chains< RNG >
member_var_decl_visgen() :
stan::gm::member_var_decl_visgen
messages() :
stan::common::recorder::messages
min() :
std::numeric_limits< stan::agrad::fvar< T > >
,
std::numeric_limits< stan::agrad::var >
minimize() :
stan::optimization::BFGSMinimizer< FunctorType, QNUpdateType, Scalar, DimAtCompile >
model_functional() :
stan::model::model_functional< M >
ModelAdaptor() :
stan::optimization::ModelAdaptor< M >
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