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.
Case weights
This model can utilize case weights during model fitting. To use them,
see the documentation in case_weights and the examples
on tidymodels.org.
The fit() and fit_xy() arguments have arguments called
case_weights that expect vectors of case weights.
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.