S3 method for predicting RCT_predict results

S3 method for predicting RCT_predict results

# S3 method for bmbstats_RCT_predict
predict(object, newdata, ...)

Arguments

object	Object of class "bmbstats_RCT_predict"
newdata	Data used for prediction
...	Extra arguments forwarded to cv_model predict

Examples

data("vertical_jump_data")

m1 <- cv_model(
  `Post-test` ~ `Pre-test` + Group,
  vertical_jump_data,
  control = model_control(
    cv_repeats = 10,
    cv_folds = 3,
    cv_strata = vertical_jump_data$Group
  )
)
#> Cross-validating: 3 folds, 10 repeats
#> Done!

m1_rct <- RCT_predict(
  m1,
  new_data = vertical_jump_data,
  outcome = "Post-test",
  group = "Group",
  treatment_label = "Treatment",
  control_label = "Control"
)

predict(m1_rct, vertical_jump_data)
#>        1        2        3        4        5        6        7        8 
#> 42.04167 46.07303 43.80419 48.37440 40.74050 41.81824 45.08679 43.79421 
#>        9       10       11       12       13       14       15       16 
#> 42.05525 37.62593 36.63302 39.88062 39.16084 38.80457 36.85273 45.78745 
#>       17       18       19       20       21       22       23       24 
#> 51.88463 53.65842 46.60804 48.75083 55.12834 51.90657 45.03811 53.59372 
#>       25       26       27       28       29       30 
#> 50.07579 56.24927 45.73852 48.51731 52.31447 54.41558