| Package | Description |
|---|---|
| dev.nm.stat.regression.linear |
Linear regression problems, fitted coefficients, and diagnostics.
|
| dev.nm.stat.regression.linear.glm | |
| dev.nm.stat.regression.linear.glm.quasi | |
| dev.nm.stat.regression.linear.lasso | |
| dev.nm.stat.regression.linear.logistic | |
| dev.nm.stat.regression.linear.ols |
| Modifier and Type | Method and Description |
|---|---|
LMBeta |
LinearModel.beta()
Gets \(\hat{\beta}\) and statistics.
|
| Modifier and Type | Class and Description |
|---|---|
class |
GLMBeta
This is the estimate of beta, \(\hat{\beta}\), in a Generalized Linear Model.
|
| Modifier and Type | Class and Description |
|---|---|
class |
QuasiGLMBeta
This is the estimate of beta, \(\hat{\beta}\), in a quasi Generalized Linear Model,
i.e., a GLM with a quasi-family of distributions.
|
| Modifier and Type | Method and Description |
|---|---|
LMBeta |
ConstrainedLASSObyQP.beta() |
LMBeta |
UnconstrainedLASSObyCoordinateDescent.beta() |
LMBeta |
ConstrainedLASSObyLARS.beta() |
LMBeta |
UnconstrainedLASSObyQP.beta() |
| Modifier and Type | Class and Description |
|---|---|
class |
LogisticBeta
Beta coefficient estimator, \(\hat{\beta}\), of a logistic regression model.
|
| Modifier and Type | Class and Description |
|---|---|
class |
OLSBeta
Beta coefficient estimator, \(\hat{\beta}\), of an Ordinary Least Square linear regression model.
|
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