spinyreg-class: Class "spinyreg"

In spinyReg: Sparse Generative Model and Its EM Algorithm

Description

Class of object returned by the spinyreg function.

Slots

coefficients:

numeric vector of coefficients with respect to the original input. Contains the intercept if the model owns any.

alpha:

numeric scalar.

gamma:

numeric scalar.

normx:

Vector (class "numeric") containing the square root of the sum of squares of each column of the design matrix.

residuals:

Vector of residuals.

r.squared:

scalar giving the coefficient of determination.

fitted:

Vector of fitted values.

monitoring:

List (class "list") which contains various indicators dealing with the optimization process.

intercept:

Logical which indicates if a intercept is included in the model.

Methods

This class comes with the usual predict(object, newx, ...), fitted(object, ...), residuals(object, ...), coefficients(object, ...), print(object, ...) and show(object) generic (undocumented) methods.

spinyReg documentation built on May 2, 2019, 11 a.m.