#include <genesis/utils/math/regression/glm.hpp>

Detailed Description

Definition at line 47 of file glm.hpp.

Public Types
enum	ResidualType { kDefault, kPearsonResiduals, kDevianceResiduals }

Public Attributes
std::vector< double >	initial_fittings

bool	mean_deviance = false
	Calculate mean `null_deviance` and mean `deviance` instead of their sums. More...

std::vector< double >	prior_weights

ResidualType	residual_type = ResidualType::kDefault

std::vector< size_t >	strata
	Strata assignments coded `1...S`. More...

bool	with_intercept = true

Member Enumeration Documentation

◆ ResidualType

enum ResidualType

Enumerator
kDefault
kPearsonResiduals
kDevianceResiduals

Definition at line 58 of file glm.hpp.

Member Data Documentation

◆ initial_fittings

std::vector<double> initial_fittings

Definition at line 49 of file glm.hpp.

◆ mean_deviance

bool mean_deviance = false

Calculate mean null_deviance and mean deviance instead of their sums.

By default, (mean_deviance = false), we calculate the null_deviance and deviance as the sum of unit deviances (see GlmFamily::unit_deviance). If we however set mean_deviance = true, we divide these values by the number of data points, that is, we calculate their mean.

Definition at line 75 of file glm.hpp.

◆ prior_weights

std::vector<double> prior_weights

Definition at line 50 of file glm.hpp.

◆ residual_type

ResidualType residual_type = ResidualType::kDefault

Definition at line 65 of file glm.hpp.

◆ strata

std::vector<size_t> strata

Strata assignments coded 1...S.

Definition at line 56 of file glm.hpp.

◆ with_intercept

bool with_intercept = true

Definition at line 51 of file glm.hpp.

The documentation for this struct was generated from the following file:

glm.hpp