Augment data from an ipd fit
Usage
# S3 method for class 'ipd'
augment(x, data = x@data_u, ...)
Examples
dat <- simdat()
fit <- ipd(Y - f ~ X1, method = "pspa", model = "ols",
data = dat, label = "set_label")
augmented_df <- augment(fit)
head(augmented_df)
#> X1 X2 X3 X4 Y f
#> 601 0.2360958 -0.5785249 1.1436235 0.04909540 -1.1141895 2.0340122
#> 602 0.6289534 -0.1691090 -1.3817136 -0.03280005 -1.8322586 0.2564554
#> 603 0.4179257 -1.9192325 -0.8440696 -0.51092478 2.9149733 0.7119315
#> 604 1.9767585 -1.5342664 -1.8365835 0.35643054 1.0645962 1.2354387
#> 605 -0.5062863 -1.1147612 1.0441708 0.41794614 3.3228702 1.3354883
#> 606 -1.1099689 1.5978116 0.2152101 0.57920526 0.6491361 -0.1933974
#> set_label .fitted .resid
#> 601 unlabeled 0.9681065 -2.082296
#> 602 unlabeled 1.3734770 -3.205736
#> 603 unlabeled 1.1557278 1.759246
#> 604 unlabeled 2.7642111 -1.699615
#> 605 unlabeled 0.2020786 3.120792
#> 606 unlabeled -0.4208319 1.069968