Here is a list of all documented functions with links to the class documentation for each member:

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• AbsTimeIntervalFromDynamicData() : stir::AbsTimeIntervalFromDynamicData
• AbsTimeIntervalFromECAT7ACF() : stir::AbsTimeIntervalFromECAT7ACF
• AbsTimeIntervalWithParsing() : stir::AbsTimeIntervalWithParsing
• accumulate_Hessian_times_input() : stir::CudaGibbsPenalty< elemT, PotentialT >, stir::GeneralisedObjectiveFunction< TargetT >, stir::GeneralisedPrior< DataT >, stir::GibbsPenalty< elemT, potentialT >, stir::LogcoshPrior< elemT >, stir::QuadraticPrior< elemT >, stir::RelativeDifferencePrior< elemT >
• accumulate_warp_image() : stir::GatedSpatialTransformation
• actual_accumulate_sub_Hessian_times_input_without_penalty() : stir::GeneralisedObjectiveFunction< TargetT >, stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >
• actual_add_multiplication_with_approximate_sub_Hessian_without_penalty() : stir::GeneralisedObjectiveFunction< TargetT >, stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >
• actual_back_project() : stir::BackProjectorByBin, stir::BackProjectorByBinNiftyPET, stir::BackProjectorByBinParallelproj, stir::BackProjectorByBinUsingProjMatrixByBin, stir::BackProjectorByBinUsingSquareProjMatrixByBin
• actual_can_read() : stir::ecat::ecat7::ECAT7DynamicDiscretisedDensityInputFileFormat, stir::ecat::ecat7::ECAT966ListmodeInputFileFormat
• actual_compute_objective_function_without_penalty() : stir::GeneralisedObjectiveFunction< TargetT >, stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >, stir::SumOfGeneralisedObjectiveFunctions< ObjFuncT, TargetT, ParentT >
• actual_compute_subset_gradient_without_penalty() : stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >
• actual_forward_project() : stir::ForwardProjectorByBin, stir::ForwardProjectorByBinNiftyPET
• actual_get_index_coordinates_for_relative_coordinates() : stir::DiscretisedDensityOnCartesianGrid< num_dimensions, elemT >
• actual_get_relative_coordinates_for_indices() : stir::DiscretisedDensity< num_dimensions, elemT >, stir::DiscretisedDensityOnCartesianGrid< num_dimensions, elemT >
• actual_has_same_characteristics() : stir::DiscretisedDensity< num_dimensions, elemT >, stir::DiscretisedDensityOnCartesianGrid< num_dimensions, elemT >
• actual_reconstruct() : stir::AnalyticReconstruction, stir::FBP3DRPReconstruction
• actual_subsets_are_approximately_balanced() : stir::GeneralisedObjectiveFunction< TargetT >, stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndDynamicProjData< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >, stir::SumOfGeneralisedObjectiveFunctions< ObjFuncT, TargetT, ParentT >
• actual_write_to_file() : stir::ecat::ecat6::ECAT6OutputFileFormat, stir::ecat::ecat7::ECAT7DynamicDiscretisedDensityOutputFileFormat, stir::ecat::ecat7::ECAT7OutputFileFormat, stir::InterfileDynamicDiscretisedDensityOutputFileFormat, stir::InterfileOutputFileFormat, stir::ITKOutputFileFormat, stir::MultiDynamicDiscretisedDensityOutputFileFormat, stir::OutputFileFormat< DataT >
• add_alias_key() : stir::KeyParser
• add_extension() : stir::FilePath
• add_key() : stir::KeyParser
• add_multiplication_with_approximate_Hessian() : stir::GeneralisedPrior< DataT >, stir::QuadraticPrior< elemT >, stir::RelativeDifferencePrior< elemT >
• add_multiplication_with_approximate_sub_Hessian_without_penalty() : stir::GeneralisedObjectiveFunction< TargetT >
• add_parsing_key() : stir::KeyParser
• add_start_key() : stir::KeyParser
• add_stop_key() : stir::KeyParser
• add_subset_sensitivity() : stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndGatedProjDataWithMotion< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndListModeDataWithProjMatrixByBin< TargetT >, stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >
• add_to_keymap() : stir::ParseAndCreateFrom< OutputT, InputT, ParserT >, stir::ParseAndCreateFrom< DiscretisedDensity< 3, elemT >, ExamDataT >, stir::ParseAndCreateFrom< ParametricDiscretisedDensity< VoxelsOnCartesianGrid< elemT > >, ExamDataT >
• add_to_registry() : stir::FactoryRegistry< Key, Factory, Compare >, stir::InputFileFormatRegistry< DataT >
• add_vectorised_key() : stir::KeyParser
• allocate() : stir::BinNormalisationPETFromComponents
• already_setup() : stir::ScatterEstimation
• append() : stir::FilePath
• append_separator() : stir::FilePath
• apply() : stir::BinNormalisation, stir::BinNormalisationFromAttenuationImage, stir::BinNormalisationFromML2D, stir::BinNormalisationFromProjData, stir::BinNormalisationPETFromComponents, stir::BinNormalisationSinogramRescaling, stir::ChainedBinNormalisation, stir::DataProcessor< DataT >, stir::Filter1D< T >, stir::TrivialBinNormalisation
• apply_linear_regression() : stir::PatlakPlot
• apply_lower_threshold() : stir::Array< num_dimensions, elemT >, stir::VectorWithOffset< T >
• apply_scaling_to_HU() : stir::HUToMuImageProcessor< TargetT >
• apply_upper_threshold() : stir::Array< num_dimensions, elemT >, stir::VectorWithOffset< T >
• Array() : stir::Array< num_dimensions, elemT >
• ArrayFilter1DUsingConvolution() : stir::ArrayFilter1DUsingConvolution< elemT >
• ArrayFilter1DUsingConvolutionSymmetricKernel() : stir::ArrayFilter1DUsingConvolutionSymmetricKernel< elemT >
• ArrayFilterUsingRealDFTWithPadding() : stir::ArrayFilterUsingRealDFTWithPadding< num_dimensions, elemT >
• ask_parameters() : stir::IterativeReconstruction< TargetT >, stir::KeyParser, stir::KOSMAPOSLReconstruction< TargetT >, stir::OSMAPOSLReconstruction< TargetT >, stir::OSSPSReconstruction< TargetT >, stir::ProjDataInfo, stir::ScatterSimulation, stir::SingleScatterSimulation
• ask_type_and_parameters() : stir::RegisteredObject< Root >
• at() : stir::BasicCoordinate< num_dimensions, coordT >, stir::DynamicDiscretisedDensity, stir::VectorWithOffset< T >
• axial_pos_num() : stir::Bin, stir::SinogramIndices
• axial_sampling_is_uniform() : stir::ProjDataInfoCylindrical, stir::ProjDataInfoGenericNoArcCorr
• axpby() : stir::Array< num_dimensions, elemT >, stir::NumericVectorWithOffset< T, elemT >, stir::ProjData, stir::ProjDataInMemory