predict_best_model: Best Fit Prediction
In leonardommarques/reliabilitytools: Reliability Analysis

Predicts the survival/reliability of the given times for the model

1 2	predict_best_model(m_flexsurvreg, pred_times = c(50, 100, 120, 150, 200) * 1000, conf_int = FALSE, best_model = 1, ...)

`best_model:`	The rank of model to be used in the plot. If best_model = 2, the second best model will be used in the plot. Can be the name of the distribution of the model
`conf_int:`	If `TRUE` then the confidence intervals will be calculated.
`m_flexsurvreg:`	list containing at least the alement "models" that has a list of `flexsurvreg` models. Or an object of class `flexsurvreg`
`pred_times:`	the list of times to predict to.
`...:`	further argumentrs for `summary()`

Returns a data.frame with the predicted survival/reliability for range of life times (resulting from a multi_surv_reg()). If the object is a model itself then the function does not search for the best model.

leonardommarques/reliabilitytools documentation built on Aug. 1, 2019, 8:03 p.m.