#include <genesis/utils/math/regression/glm.hpp>
Definition at line 99 of file glm.hpp.
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std::vector< double > | betaQ |
| Vector of parameter estimates (in terms of basis matrix, Xb) (size M ). More...
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bool | converged = false |
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double | deviance = 0.0 |
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size_t | df_resid = 0 |
| Residual degrees of freedom. More...
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std::vector< double > | fitted |
| Fitted values (size N ). More...
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double | null_deviance = 0.0 |
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size_t | num_iterations = 0 |
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size_t | rank = 0 |
| Rank of X after regression on strata. More...
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std::vector< double > | resid |
| Working residuals (on linear predictor scale) (size N ). More...
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double | scale = 1.0 |
| Scale factor (scalar). More...
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std::vector< double > | tri |
| Upper unit triangular transformation matrix, with Xb - tr.Xb placed in the diagonal (size (M * (M+1)) / 2 ). More...
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std::vector< double > | weights |
| Weights (size N ) More...
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std::vector< double > | which |
| Which columns in the X matrix were estimated (first = 0) (size M ). More...
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Matrix< double > | Xb |
| Orthogonal basis for X space (N * M matrix, with N * rank being used). More...
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◆ betaQ
std::vector<double> betaQ |
Vector of parameter estimates (in terms of basis matrix, Xb) (size M
).
Definition at line 147 of file glm.hpp.
◆ converged
◆ deviance
◆ df_resid
Residual degrees of freedom.
Definition at line 112 of file glm.hpp.
◆ fitted
std::vector<double> fitted |
Fitted values (size N
).
Definition at line 127 of file glm.hpp.
◆ null_deviance
double null_deviance = 0.0 |
◆ num_iterations
size_t num_iterations = 0 |
◆ rank
Rank of X after regression on strata.
Definition at line 107 of file glm.hpp.
◆ resid
std::vector<double> resid |
Working residuals (on linear predictor scale) (size N
).
Definition at line 132 of file glm.hpp.
◆ scale
Scale factor (scalar).
Definition at line 117 of file glm.hpp.
◆ tri
Upper unit triangular transformation matrix, with Xb - tr.Xb placed in the diagonal (size (M * (M+1)) / 2
).
Definition at line 153 of file glm.hpp.
◆ weights
std::vector<double> weights |
Weights (size N
)
Definition at line 137 of file glm.hpp.
◆ which
std::vector<double> which |
Which columns in the X matrix were estimated (first = 0) (size M
).
Definition at line 142 of file glm.hpp.
◆ Xb
Orthogonal basis for X space (N * M
matrix, with N * rank
being used).
Definition at line 122 of file glm.hpp.
The documentation for this struct was generated from the following file: