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The time to event can be predicted with type = "time", the survival
probability with type = "survival", the linear predictor with
type = "linear_pred", the quantiles of the event time distribution
with type = "quantile", and the hazard with type = "hazard".
model
engine
time
survival
linear_pred
raw
quantile
hazard
bag_tree
rpart
✔
✔
✖
✖
✖
✖
boost_tree
mboost
✔
✔
✔
✖
✖
✖
decision_tree
rpart
✔
✔
✖
✖
✖
✖
decision_tree
partykit
✔
✔
✖
✖
✖
✖
proportional_hazards
survival
✔
✔
✔
✖
✖
✖
proportional_hazards
glmnet
✔
✔
✔
✔
✖
✖
rand_forest
partykit
✔
✔
✖
✖
✖
✖
rand_forest
aorsf
✔
✔
✖
✖
✖
✖
survival_reg
survival
✔
✔
✔
✖
✔
✔
survival_reg
flexsurv
✔
✔
✔
✖
✔
✔
survival_reg
flexsurvspline
✔
✔
✔
✖
✔
✔
Contributing
This project is released with a Contributor Code of
Conduct.
By contributing to this project, you agree to abide by its terms.
For questions and discussions about tidymodels packages, modeling, and
machine learning, please post on Posit
Community.
If you think you have encountered a bug, please submit an
issue.
Either way, learn how to create and share a
reprex
(a minimal, reproducible example), to clearly communicate about your
code.