40 std::unordered_map<core::Identifier, int>
variables;
68 const std::map<int, HierarchicalLevel> &levels);
72 std::string
name()
const noexcept override;
79 const std::unordered_map<core::Identifier, LinearModel> &models_;
80 const std::map<int, HierarchicalLevel> &levels_;
83 std::vector<MappingEntry> &level_factors);
94 std::unordered_map<core::Identifier, LinearModel> linear_models,
95 std::map<int, HierarchicalLevel> model_levels);
99 std::unique_ptr<RiskFactorModel>
create_model()
const override;
102 std::unordered_map<core::Identifier, LinearModel> models_;
103 std::map<int, HierarchicalLevel> levels_;
Risk factor model definition interface.
Definition risk_factor_model.h:44
Risk factor model interface.
Definition risk_factor_model.h:21
Defines the Simulation runtime context data type.
Definition runtime_context.h:22
Defines the full hierarchical linear model data type.
Definition static_hierarchical_linear_model.h:87
std::unique_ptr< RiskFactorModel > create_model() const override
Construct a new StaticHierarchicalLinearModel from this definition.
Definition static_hierarchical_linear_model.cpp:127
Implements the static hierarchical linear model type.
Definition static_hierarchical_linear_model.h:62
void update_risk_factors(RuntimeContext &context) override
Update risk factors for population.
Definition static_hierarchical_linear_model.cpp:36
RiskFactorModelType type() const noexcept override
Gets the model type identifier.
Definition static_hierarchical_linear_model.cpp:13
std::string name() const noexcept override
Gets the model name.
Definition static_hierarchical_linear_model.cpp:17
void generate_risk_factors(RuntimeContext &context) override
Generates the initial risk factors for a population and newborns.
Definition static_hierarchical_linear_model.cpp:19
Defines a contiguous storage for two-dimensional numerical data in row-major format.
Definition array2d.h:15
Top-level namespace for Health-GPS Console host application.
Definition command_options.cpp:8
RiskFactorModelType
Health GPS risk factor module types enumeration.
Definition risk_factor_model.h:12
Regression coefficients data type.
Definition static_hierarchical_linear_model.h:10
double value
The coefficient value.
Definition static_hierarchical_linear_model.h:12
double std_error
Associated standard error.
Definition static_hierarchical_linear_model.h:21
double tvalue
Associated t-value.
Definition static_hierarchical_linear_model.h:18
double pvalue
Associated p-value.
Definition static_hierarchical_linear_model.h:15
Defines a hierarchical level data type.
Definition static_hierarchical_linear_model.h:37
core::DoubleArray2D residual_distribution
The residuals distribution.
Definition static_hierarchical_linear_model.h:49
core::DoubleArray2D inverse_transition
The inverse transition matrix.
Definition static_hierarchical_linear_model.h:46
core::DoubleArray2D transition
The transition matrix.
Definition static_hierarchical_linear_model.h:43
core::DoubleArray2D correlation
The correlation matrix.
Definition static_hierarchical_linear_model.h:52
std::vector< double > variances
The associated variance.
Definition static_hierarchical_linear_model.h:55
std::unordered_map< core::Identifier, int > variables
The level variables.
Definition static_hierarchical_linear_model.h:40
Defines a linear regression model data type.
Definition static_hierarchical_linear_model.h:25
double residuals_standard_deviation
The residuals standard deviation value.
Definition static_hierarchical_linear_model.h:30
double rsquared
The R squared value.
Definition static_hierarchical_linear_model.h:33
std::unordered_map< core::Identifier, Coefficient > coefficients
The model coefficients.
Definition static_hierarchical_linear_model.h:27
Defines a virtual population person data type.
Definition person.h:39