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See below.
library(aorsf)
fit = orsf(pbc_orsf, time + status ~ . - id)
orsf_pd_oob(fit, pred_spec = pred_spec_auto(age))
#> pred_horizon age mean lwr medn upr
#> 1: 1788 35.66324 0.2702930 0.01283832 0.1639040 0.8902918
#> 2: 1788 41.51266 0.2811068 0.01250296 0.1799548 0.8988816
#> 3: 1788 49.70979 0.3068783 0.01287180 0.2048165 0.9127864
#> 4: 1788 56.58453 0.3361083 0.01693452 0.2480658 0.9267214
#> 5: 1788 62.88433 0.3667286 0.02749217 0.2945945 0.9229582
orsf_pd_oob(fit, pred_spec = pred_spec_auto("age"))
#> pred_horizon age mean lwr medn upr
#> 1: 1788 35.66324 0.2702930 0.01283832 0.1639040 0.8902918
#> 2: 1788 41.51266 0.2811068 0.01250296 0.1799548 0.8988816
#> 3: 1788 49.70979 0.3068783 0.01287180 0.2048165 0.9127864
#> 4: 1788 56.58453 0.3361083 0.01693452 0.2480658 0.9267214
#> 5: 1788 62.88433 0.3667286 0.02749217 0.2945945 0.9229582
bob = "age"
orsf_pd_oob(fit, pred_spec = pred_spec_auto(bob))
#> Error: variables in pred_spec were not found in data: bob
Created on 2024-10-08 with reprex v2.1.0
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