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

Description Arguments See Also

This class of objects is returned by the function penPHcure when is called with the argument pen.type = "none". Objects of this class have methods for the functions summary and predict.

`b`	a numeric vector with the estimated regression coefficients in the cure (incidence) component.
`beta`	a numeric vector with the true estimated regression 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).
`logL`	the value of the log-likelihood for the estimated model.
`converged`	an integer to indicate if the Expectation-Maximization (EM) algorithm converged. The possible values are: `1` if it converged, `-1` if it exceeded the maximum number of iterations or `-2` if it stopped due to non-finite elements in the regression coefficients.
`iter`	the maximum number of iteration before the convergence of the Expectation-Maximization (EM) algorithm.
`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.
`inference`	[optional] a list with elements named `bs`, `betas` and `nboot`. The elements `bs` and `betas` are matrices containing on each row the estimated regression coefficients in the incidence and latency components, respectively, for each of the `nboot` bootstrap resamples. This object is returned only if the function `penPHcure` was called with the argument inference = TRUE.
`call`	object of class `call`, with all the specified arguments.