Package | Description |
---|---|
dev.nm.stat.regression.linear.glm | |
dev.nm.stat.regression.linear.glm.quasi |
Modifier and Type | Class and Description |
---|---|
class |
IWLS
This implementation estimates parameters β in a GLM model using the Iteratively
Re-weighted Least Squares algorithm.
|
Constructor and Description |
---|
GeneralizedLinearModel(GLMProblem problem,
GLMFitting fitting)
Constructs a
GeneralizedLinearModel instance. |
GLMBeta(GLMFitting fitting,
GLMResiduals residuals)
Construct an instance of
Beta . |
Modifier and Type | Class and Description |
---|---|
class |
QuasiGLMNewtonRaphson
The Newton-Raphson method is an iterative algorithm to estimate the β of the quasi
GLM regression.
|
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