SurvS4-class

show,SurvS4-method

classes

This package fits many (150+) models and
    distributions by maximum likelihood estimation (MLE)
    or penalized MLE, using Fisher scoring. This is done
    via the vector generalized linear and additive model
    (VGLM/VGAM) classes and associated models (reduced-rank
    VGLMs, quadratic RR-VGLMs, reduced-rank VGAMs, row-column
    interaction models). These are abbreviated RR-VGLMs,
    QRR-VGLMs, RR-VGAMs and RCIMs. These include constrained
    and unconstrained quadratic ordination (CQO/UQO) models
    in ecology as well as constrained additive ordination
    (CAO).

Thomas Yee

VGAM

Vector Generalized Linear and Additive Models

SurvS4-class function

A virtual Class: No objects may be created from it.

Objects from the Class

Class <code>"Surv"</code>, directly.
Class <code>"<links4class>matrix</links4class>"</code>, directly.
Class <code>"<links4class>oldClass</links4class>"</code>, by class "Surv", distance 2.
Class <code>"<links4class>structure</links4class>"</code>, by class "matrix", distance 2.
Class <code>"<links4class>array</links4class>"</code>, by class "matrix", distance 2.
Class <code>"<links4class>vector</links4class>"</code>, by class "matrix", distance 3, with explicit coerce.
Class <code>"<links4class>vector</links4class>"</code>, by class "matrix", distance 4, with explicit coerce.

Extends

This code has not been thoroughly tested.

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SurvS4-class: Class "SurvS4"

Description

Arguments

Objects from the Class

Extends

Warning

References

See Also

Examples