penPHcure.object: Penalized PH cure model object
In penPHcure: Variable Selection in PH Cure Model with Time-Varying Covariates

Description Arguments Details See Also

This class of objects is returned by the function penPHcure when is called with the argument pen.type = "SCAD" | "LASSO". Objects of this class have methods for the functions summary and predict.

`AIC`	a list with elements containing the results of the selected model based on the Akaike information criterion (AIC). See Details.
`BIC`	a list with elements containing the results of the selected model based on the Bayesian Information Criterion (BIC). See Details.
`pen.type`	a character string indicating the type of penalty used, either `"SCAD"` or `"LASSO"`.
`tuneGrid`	a data.frame containing the values of the AIC and BIC criteria for each combination of the tuning parameters.
`pen.weights`	a list with elements named `CURE` and `SURV`, containing the penalty weights. For more details, see `penPHcure`.
`N`	the sample size (number of individuals).
`K`	the number of unique failure times.
`isTies`	logical value: `TRUE` in case of tied event times.
`censoring`	the proportion of censored individuals.
`which.X`	character string indicating the method used to transform the covariates included in the incidence (cure) component from time-varying to time-invariant. See `penPHcure` for more details.
`survform`	a formula object with all variables involved in the latency (survival) component of the model.
`cureform`	a formula object with all variables involved in the incidence (survival) component of the model.
`call`	object of class `call`, with all the specified arguments.

The lists AIC and BIC contain the results of the selected model based on the Akaike information criterion (AIC) and Bayesian Information Criterion (BIC), respectively. They are composed by the following elements:

crit: value of the minimized AIC/BIC criterion.
b: a numeric vector with the estimated regression coefficients in the cure (incidence) component.
beta: a numeric vector with the true estimated coefficients in the survival (latency) component.
cumhaz: a numeric vector with the estimated cumulative baseline hazard function at the unique event times (reported in the "names" attribute).
tune_params: a list with elements named CURE and SURV containing the selected tuning parameters, which minimize the AIC/BIC criterion.