summary.mixturecure {hdcuremodels}

Summarize a Fitted Mixture Cure Object.

Description

summary method for a mixturecure object fit using curegmifs, cureem, cv_curegmifs, or cv_cureem.

Usage

## S3 method for class 'mixturecure'
summary(object, ...)

Arguments

object

a mixturecure object resulting from curegmifs, cureem, cv_curegmifs, or cv_cureem.

...

other arguments.

Value

prints the following items extracted from the object fit using curegmifs or cureem: the step and value that maximizes the log-likelihood; the step and value that minimizes the AIC, modified AIC (mAIC), corrected AIC (cAIC), BIC, modified BIC (mBIC), and extended BIC (EBIC). Returns log-likelihood, AIC, and BIC if the object was fit using cv_curegmifs or cv_cureem at the optimal cross-validated values if no FDR control; the number of non-zero incidence and latency variables is returned when cross-validation is used together with FDR control.

See Also

curegmifs, cureem, coef.mixturecure, plot.mixturecure, predict.mixturecure

Examples

library(survival)
set.seed(1234)
temp <- generate_cure_data(N = 100, J = 10, nTrue = 10, A = 1.8)
training <- temp$Training
fit <- curegmifs(Surv(Time, Censor) ~ .,
                       data = training, x.latency = training,
                       model = "weibull", thresh = 1e-4, maxit = 2000,
                       epsilon = 0.01, verbose = FALSE)
summary(fit)