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Related Issues (20)
- `multi_predict(type = "survival")` is missing `penalty` column for single penalty value HOT 2
- Passing Pre-specified Model Coefficients HOT 2
- Use cli errors HOT 1
- Use rlang type-checkers
- `predict()` on a glmnet workflow with a model formula fails HOT 5
- Simplify structure of survival prob predictions for `decision_tree(engine = "rpart")` HOT 1
- Simplify structure of survival prob predictions for `rand_forest(engine = "aorst")` HOT 2
- glmnet and sparse matrices HOT 2
- Enable `multi_predict()` for `type = "time"` for glmnet models HOT 2
- `survival_prob_orsf()` should take a parnip model HOT 2
- update tests for `aorsf` version 0.1.2 HOT 4
- `multi_predict()` for `mboost` models
- Update `.filter_eval_time()` HOT 1
- Harmonize input for `survival_prob_*()` and `surival_time_*()` functions HOT 1
- tune_grid() and tune_bayes() do not work with censored HOT 4
- Enable predictions with `type = "time"` for aorsf HOT 1
- Release censored 0.3.0 HOT 1
- `coxnet_train()` struggles with large number of predictors
- Test flexsurv engine against flexsurv output instead of rms
- Release censored 0.3.1 HOT 1
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