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Parametric survival regression

Source: R/surv_reg_flexsurv.R
details_surv_reg_flexsurv.Rd

flexsurv::flexsurvreg() fits a parametric survival model.

Details

For this engine, there is a single mode: regression

Tuning Parameters

This model has 1 tuning parameters:

  • dist: Distribution (type: character, default: ‘weibull’)

Translation from parsnip to the original package

surv_reg(dist = character(1)) %>% 
  set_engine("flexsurv") %>% 
  set_mode("regression") %>% 
  translate()

## Parametric Survival Regression Model Specification (regression)
## 
## Main Arguments:
##   dist = character(1)
## 
## Computational engine: flexsurv 
## 
## Model fit template:
## flexsurv::flexsurvreg(formula = missing_arg(), data = missing_arg(), 
##     weights = missing_arg(), dist = character(1))

Other details

The main interface for this model uses the formula method since the model specification typically involved the use of survival::Surv().

For this engine, stratification cannot be specified via strata(), please see flexsurv::flexsurvreg() for alternative specifications.

Saving fitted model objects

This model object contains data that are not required to make predictions. When saving the model for the purpose of prediction, the size of the saved object might be substantially reduced by using functions from the butcher package.

References

  • Jackson, C. 2016. flexsurv: A Platform for Parametric Survival Modeling in R. Journal of Statistical Software, 70(8), 1 - 33.