Regression object for stpm2
.
Objects can be created by calls of the form new("stpm2", ...)
and
stpm2( ...)
.
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"
~~
Class mle2
, directly.
signature(x = "stpm2", y = "missing")
: ...
signature(x = "stpm2", ...)
: ...
%\item{predict}{\code{signature(object = "stpm2")}: ... }
signature(object = "stpm2", ...)
: ...
signature(object = "stpm2", ...)
: ...
signature(object = "stpm2", ...)
: ...