Class "pstpm2"

Share:

Description

Regression object for pstpm2.

Objects from the Class

Objects can be created by calls of the form new("pstpm2", ...) and pstpm2( ...).

Slots

xlevels:

Object of class "list" ~~

contrasts:

Object of class "listOrNULL" ~~

terms:

Object of class "terms" ~~

gam:

Object of class "gam" ~~

logli:

Object of class "function" ~~

timeVar:

Object of class "character" ~~

time0Var:

Object of class "character" ~~

time0Expr:

Object of class "nameOrcall" ~~

timeExpr:

Object of class "nameOrcall" ~~

like:

Object of class "function" ~~

model.frame:

Object of class "list" ~~

fullformula:

Object of class "formula" ~~

delayed:

Object of class "logical" ~~

frailty:

Object of class "logical" ~~

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" ~~

sp:

Object of class "numeric" ~~

nevent:

Object of class "numeric" ~~

link:

Object of class "list" ~~

edf:

Object of class "numeric" ~~

edf_var:

Object of class "numeric" ~~

df:

Object of class "numeric" ~~

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 = "pstpm2", y = "missing"): ...

anova

signature(object = "pstpm2",...): ...

AIC

signature(object = "pstpm2",...,k=2): ...

AICc

signature(object = "pstpm2",...,nobs=NULL, k=2): ...

BIC

signature(object = "pstpm2",..., nobs = NULL): ...

qAICc

signature(object = "pstpm2",..., nobs = NULL, dispersion = 1, k = 2): ...

qAIC

signature(object = "pstpm2",..., dispersion = 1, k = 2): ...

summary

signature(object = "pstpm2",...): ...

predictnl

signature(object = "pstpm2",...): ...

Examples

1
showClass("pstpm2")