Pred_spec_auto and character values

[DustinMLong]

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}