survival_reg() is a way to generate a specification of a model before fitting and allows the model to be created using R. The main argument for the model is:

  • dist: The probability distribution of the outcome.

This argument is converted to its specific names at the time that the model is fit. Other options and argument can be set using set_engine(). If left to its default here (NULL), the value is taken from the underlying model functions. If parameters need to be modified, update() can be used in lieu of recreating the object from scratch.

survival_reg(mode = "censored regression", engine = "survival", dist = NULL)



A single character string for the prediction outcome mode. The only possible value for this model is "censored regression".


A single character string specifying what computational engine to use for fitting. Possible engines are listed below. The default for this model is "survival".


A character string for the outcome distribution. "weibull" is the default.


The data given to the function are not saved and are only used to determine the mode of the model. For survival_reg(),the mode will always be "censored regression".

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.

See also


#> Parametric Survival Regression Model Specification (censored regression) #> #> Computational engine: survival #>