f_get_best_surv_model: Choose the best model out of a set based on a metric.
In MattWiener/heemodFits: Using Survival Fits with Heemod

Description Usage Arguments Details Value

Choose the best model out of a set based on a metric.

1	f_get_best_surv_model(surv_fits, metric = c("AIC"))

`surv_fits`	A list object from `f.get.survival.probs` that gives a collection (list) of parametric survival fit object.
`metric`	The metric to choose the model by. Currently supports selecting the best model using one (and only one) of the following metrics: 1. "AIC": Akaike information criterion 2. "BIC": Bayesian information criterion 3. "m2LL": -2*log likelihood

Gets the best survival model, according to a particular metric. Current implementation is limited to selecting the best model using one (and only one) of the following metrics: 1. Akaike information criterion (AIC) 2. Bayesian information criterion (BIC) 3. -2*log likelihood (-2LL)

The best model according to the chosen metric.

MattWiener/heemodFits documentation built on May 19, 2019, 8:21 a.m.