study_lfc_acc: Conduct an evaluation study (classification accuracy)

View source: R/study_lfc.R

study_lfc_accR Documentation

Conduct an evaluation study (classification accuracy)

Description

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.

Usage

study_lfc_acc(
  instance = sample_lfc_acc(),
  alternative = "greater",
  alpha = 0.025,
  estimate = "beta.approx",
  infer = "maxT",
  transform = "none",
  data = NULL,
  job = NULL
)

Arguments

instance

artificial performance data, result of sample_lfc_acc(...) call

alternative

character, either "two.sided" (default), "greater" or "less"

alpha

numeric, significance level (default: 0.05)

estimate

character, estimation method (default: "default", i.e. ML estimation)

infer

character, inference method (default: "maxT", currently only choice)

transform

character, application of transform and delta method (default: "none", other suitable choices are "logit" and "asin.sqrt")

data

ignored (required for batchtools compatibility)

job

ignored (required for batchtools compatibility)

Value

A single row data.frame with important characteristics of the evaluation study.

Examples

study_lfc_acc(instance=sample_lfc_acc())


maxwestphal/SEPM.SIM documentation built on April 11, 2024, 4:06 p.m.