MGLMreg-class | R Documentation |

`"MGLMreg"`

Objects can be created by calls of the form `new("MGLMreg", ...)`

.

`call`

object of class

`"call"`

.`data`

object of class

`"list"`

, consists of both the predictor matrix and the response matrix.`coefficients`

object of class

`"list"`

or`"matrix"`

, the estimated parameters.`SE`

object of class

`"list"`

or`"matrix"`

, the standard errors of the parameters.`test`

object of class

`"matrix"`

, the test statistics and p-values.`Hessian`

object of class

`"matrix"`

, the Hessian matrix.`logL`

object of class

`"numeric"`

, the loglikelihood.`BIC`

object of class

`"numeric"`

,`AIC`

object of class

`"numeric"`

, Akaike information criterion.`iter`

object of class

`"numeric"`

, the number of iteration used.`distribution`

object of class

`"character"`

, the distribution fitted.`fitted`

object of class

`"vector"`

, the fitted value.`gradient`

object of class

`"numeric"`

or`"matrix"`

, the gradient at the estimated parameter values.`wald.value`

object of class

`"numeric"`

or`"logical"`

, the Wald statistics.`wald.p`

object of class

`"numeric"`

or`"logical"`

, the p values of Wald test.`Dof`

object of class

`"numeric"`

, the degrees of freedom.

Yiwen Zhang and Hua Zhou

showClass("MGLMreg")

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