rstpm2 (version 1.7.0)

stpm2-class: Class "stpm2" ~~~

Description

Regression object for stpm2.

Objects from the Class

Objects can be created by calls of the form new("stpm2", ...) and stpm2( ...).

Slots

xlevels:

Object of class "list" ~~

contrasts:

Object of class "listOrNULL" ~~

terms:

Object of class "terms" ~~

logli:

Object of class "function" ~~

lm:

Object of class "lm" ~~

timeVar:

Object of class "character" ~~

time0Var:

Object of class "character" ~~

timeExpr:

Object of class "nameOrcall" ~~

time0Expr:

Object of class "nameOrcall" ~~

delayed:

Object of class "logical" ~~

frailty:

Object of class "logical" ~~

interval:

Object of class "logical" ~~

model.frame:

Object of class "list" ~~

call.formula:

Object of class "formula" ~~

x:

Object of class "matrix" ~~

xd:

Object of class "matrix" ~~

termsd:

Object of class "terms" ~~

Call:

Object of class "character" ~~

y:

Object of class "Surv" ~~

link:

Object of class "list" ~~

call:

Object of class "language" ~~

call.orig:

Object of class "language" ~~

coef:

Object of class "numeric" ~~

fullcoef:

Object of class "numeric" ~~

vcov:

Object of class "matrix" ~~

min:

Object of class "numeric" ~~

details:

Object of class "list" ~~

minuslogl:

Object of class "function" ~~

method:

Object of class "character" ~~

data:

Object of class "list" ~~

formula:

Object of class "character" ~~

optimizer:

Object of class "character" ~~

args:

Object of class "list" ~~

Extends

Class mle2, directly.

Methods

plot

signature(x = "stpm2", y = "missing"): base graphics plot

lines

signature(x = "stpm2", ...): add lines to a base graphics plot

%\item{predict}{\code{signature(object = "stpm2")}: ... } %\item{predictnl}{\code{signature(object = "stpm2", ...)}: ... }

anova

signature(object = "stpm2",...): ...

AIC

signature(object = "stpm2",...,k=2): ...

AICc

signature(object = "stpm2",...,nobs=NULL, k=2): ...

BIC

signature(object = "stpm2",..., nobs = NULL): ...

qAICc

signature(object = "stpm2",..., nobs = NULL, dispersion = 1, k = 2): ...

qAIC

signature(object = "stpm2",..., dispersion = 1, k = 2): ...

summary

signature(object = "stpm2", ...): summarise the object

update

signature(object = "stpm2", ...): update fit

eform

signature(object = "stpm2", ...): ...

Examples

showClass("stpm2")