This function is soft-deprecated in favor of
survival_reg() which uses the
"censored regression" mode.
surv_reg() defines a parametric survival model.
More information on how parsnip is used for modeling is at https://www.tidymodels.org/.
surv_reg(mode = "regression", engine = "survival", dist = NULL)
A single character string for the prediction outcome mode. The only possible value for this model is "regression".
A single character string specifying what computational engine to use for fitting.
A character string for the probability distribution of the outcome. The default is "weibull".
This function only defines what type of model is being fit. Once an engine
is specified, the method to fit the model is also defined. See
set_engine() for more on setting the engine, including how to set engine
The model is not trained or fit until the
fit() function is used
with the data.
Since survival models typically involve censoring (and require the use of
survival::Surv() objects), the
fit.model_spec() function will require that the
survival model be specified via the formula interface.
show_engines("surv_reg") surv_reg(mode = "regression", dist = "weibull")
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