nltm.object {nltm} | R Documentation |
Non-Linear Transformation Model Object
Description
This object is returned by the nltm
function. It represents a
fitted non-linear transformation model.
Objects of this class have methods for the functions print
and
summary
.
Components
Components of a nltm
object.
- coefficients
-
The maximum profile likelihood estimators of the model regression parameters,
\beta_\theta
(and\beta_\eta
and\beta_c
). Seenltm
. - loglik
-
A vector of length 2 containing the log-likelihood of the null model and with the final values of the coefficients.
- surv
-
MLE of the baseline survival function at the profile maximum likelihood parameters. It is obtained from the hazard jumps that satisfy self-consistency equation (5) in Tsodikov A. and Garibotti G. (2006).
- var
-
The variance matrix of the coefficients.
- n
-
The number of observations used in the fit.
- maxit
-
The maximum number of iterations of the optimization procedure. Default is 1000.
- counts
-
Number of calls to the profile likelihood function during the optimization process. This excludes those calls needed to compute a finite-difference approximation to the gradient.
- convergence
-
An integer code. '0' indicates successful convergence. Error codes are
'1' indicates that the iteration limit 'maxit' had been reached.
'51' indicates a warning from the optimization method; see component 'message' for further details.
'52' indicates an error from the "L-BFGS-B" method; see component 'message' for further details.
- message
-
A character string giving any additional information returned by the optimizer, or 'NULL'.
- formula
-
If the model has only one predictor a single formula indicating the model for that predictor. If the model has two predictors, then formula is a list with terms pred.long and pred.short indicating the model for the long and short term predictor respectively.
- terms
The 'terms' object used.
- nvar
-
If the model has one predictor, number of columns in the model matrix. If it has 2 predictors list with terms pred.short and pred.long indicating the number of columns in the model matrix of the longa and short term predictors respectively.
- x
If requested is the model matrix in the case of nlt models with one predictor. If the nltm has 2 predictors, x is a list with terms pred.long and pred short containing the model matrix for the long and short-term predictors respectively.
- y
If requested, the response matrix.
- model
If requested is the model frame in the case of nlt models with one predictor. If the nltm has 2 predictors, is a list with terms pred.long and pred short containing the model frame for the long and short-term predictors respectively.
- npred
Number or predictors.
- call
The call of the nltm model.
- na.action
-
The
na.action
attribute, if any, that was returned by thena.action
routine.
The object will also contain the following, for documentation see the lm
object: terms
, assign
, formula
, call
, and, optionally, x
, y
,
and/or frame
.
References
Tsodikov A., Garibotti G. (2006) "Profile information matrix for nonlinear transformation models". to appear in Journal of Lifetime Data Analysis.