parsnip (version 1.0.0)

details_survival_reg_flexsurv: Parametric survival regression

Description

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

Details

For this engine, there is a single mode: censored regression

Tuning Parameters

This model has 1 tuning parameters:

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

Translation from parsnip to the original package

The censored extension package is required to fit this model.

library(censored)
survival_reg(dist = character(1)) %>% 
  set_engine("flexsurv") %>% 
  set_mode("censored regression") %>% 
  translate()

## Parametric Survival Regression Model Specification (censored 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.

Predictions of type "time" are predictions of the mean survival time.

References

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