friedman_post: Friedman's post hoc test

In RebeccaGroh/seqbtests: Sequential Bayesian Comparison of ML Algorithm Performances

Description

This function implements a Friedman post hoc test. It computes the raw p-values for the post hoc based on Friedman's test.

Usage

friedman_post(df, measure = NULL, control = NULL)

Arguments

df	('list') Data frame containing the performane measure.
measure	('character') Name of the 'measure' column. If not defined, the first 'measure' column in the data frame is used.
control	('character') The name of the control algorithm. If this parameter is not provided, all algorithms are compared against each other.

Details

The test has first been implemented in scmamp.

Value

A list containing the following components:

• measure ('character')
  A string with the name of the measure column.

• method ('character')
  A string with the name of the method.

• codematrix ('matrix')
  A matrix with all the pair wise raw p-values.

References

https://github.com/b0rxa/scmamp

Examples

    friedman_post(test_benchmark)

RebeccaGroh/seqbtests documentation built on Nov. 17, 2021, 8:50 a.m.