Wrap all pipeline
wrapper_aucdim(
data,
outcome,
indep_vars,
n_samples = 100,
n_maximum_dim = 5,
p_in = 0.5,
p_out = 0.6,
models = c("SL.glm"),
test_partition_prop = 0.2,
perf_measure = "auc",
x_label_offset = 1,
y_label_offset = 10
)a list with the final object
a dataframe to be analyzed
a string representing the outcome variable
a vector of strings to be considered
number of bootstrap samples
maximum number of variables
entry p-value for choosing variable order
exclusion p-value for choosing variable order
a string representing the models to compare
test partition proportion
performance measure to be considered
x coordinate for plotting
y coordinate for plotting