study_lfc_acc | R Documentation |
This is a batchtools
friendly implementation of the evaluation of the artificial
prediction models simulated via
sample_lfc_acc
regarding classification accuracy with functions from the
SEPM
package.
study_lfc_acc(
instance = sample_lfc_acc(),
alternative = "greater",
alpha = 0.025,
estimate = "beta.approx",
infer = "maxT",
transform = "none",
data = NULL,
job = NULL
)
instance |
artificial performance data, result of |
alternative |
character, either |
alpha |
numeric, significance level (default: |
estimate |
character, estimation method (default: |
infer |
character, inference method (default: "maxT", currently only choice) |
transform |
character, application of transform and delta method (default: |
data |
ignored (required for batchtools compatibility) |
job |
ignored (required for batchtools compatibility) |
A single row data.frame
with important characteristics of the evaluation study.
study_lfc_acc(instance=sample_lfc_acc())
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